DIAGNÓSTICO DOS RESÍDUOS SÓLIDOS URBANOS EM MUNICÍPIOS DE PEQUENO PORTE – O CASO DE MONTE ALEGRE/RN

O presente trabalho visa a caracterização física dos resíduos sólidos urbanos domiciliares da cidade de Monte Alegre/RN e a conseqüente orientação para a elaboração de um Plano de Gestão Integrada de Resíduos Sólidos. Tal caracterização identificou os diferentes tipos de materiais que são encontrados nos resíduos domiciliares de Monte Alegre, como: papel, vidro, plástico, metal, e matéria orgânica, sendo esse fator de grande importância para a execução do Plano de Gestão Integrado de Resíduos Sólidos (PGRIS). A coleta de dados foi realizada em amostras de resíduos produzidas nos bairros centrais de Monte Alegre. Foram coletadas e pesadas amostras em dois períodos, janeiro e julho de 2007, no lixão do bairro da Esperança. Os resíduos foram separados de acordo com o tipo e pesados, individualmente, para a obtenção da quantidade de resíduos gerada no município. Tendo em vista a grande quantidade de matéria orgânica produzida, na cidade, a implantação de uma usina de compostagem é uma das soluções apontadas como viável; pois, além de reduzir os resíduos destinados ao lixão, traria benefícios sócio-econômicos para a cidade

Carta de risco de inundação a partir de modelos SRTM na área urbana de Pau dos Ferros - RN

Drainages of the Apodi River basin cross the urban area of Pau dos Ferros City – RN and are responsible for floods during the rainy season, in unduly occupied areas. The inefficient system of urban drainage, allied to the perennial process of this river by the integration project from San Francisco River basin with the brazilian northern Northeast basins may enlarge the flood areas. This work aims to identify flood risk areas in the Pau dos Ferros city. Sensor HRC image of CBERS 2B satellite of 2008 and Shuttle Radar Topography Mission model were used for mapping. Then, the flood risk areas were delimited by isolines extraction tool for slicing generation every 20 meters obtained from image Shuttle Radar Topography Mission in SPRING 5.1 GIS. The results allow visualizing that some neighborhoods along the Apodi River are susceptible to more flooding events from low to high grade, while in neighborhoods of the Cajazeiras rivulet the floods will be of low grade because of the higher altimetry and less water volume.Drenagens da bacia do Rio Apodi atravessam a área urbana da cidade de Pau dos Ferros – RN e são responsáveis por inundações durante o período chuvoso, em áreas indevidamente ocupadas. O ineficiente sistema da drenagem urbana, aliado ao processo de perenização do rio pelo projeto de integração da Bacia do São Francisco com as Bacias do Nordeste Setentrional poderão contribuir para a ampliação das áreas de inundação na cidade de Pau dos Ferros - RN. Neste sentido, este trabalho objetivou identificar estas áreas de risco na cidade de Pau dos Ferros. Para o mapeamento, utilizou-se imagem do sensor HRC do satélite CBERS 2B e modelo SRTM. As áreas de risco de inundação foram demarcadas mediante fatiamento de 20 em 20 metros da imagem SRTM, utilizando o SIG SPRING 5.1. Os primeiros resultados permitiram visualizar que alguns bairros ao longo do Rio Apodi estão susceptíveis a ocorrências de inundações de baixo a alto grau, enquanto que nos bairros próximos ao Riacho Cajazeiras as inundações serão de baixo grau devido à altimetria mais elevada e o menor volume d’água

ABORDAGENS INOVADORAS NO TRATAMENTO DE TRANSTORNOS NEURODEGENERATIVOS

This paper delves into innovative approaches to treating neurodegenerative disorders, with a comprehensive focus on genetic therapies and stem cell applications. Neurodegenerative diseases such as Alzheimer’s and Parkinson’s present significant challenges to contemporary medicine due to their complexity and the lack of effective curative treatments. Genetic therapy, one of the latest innovations, shows promise by targeting and correcting the genetic anomalies that underlie these conditions. This approach includes techniques such as gene editing and viral vector-based gene therapy. Concurrently, stem cell therapies are emerging as a powerful method for regenerating damaged neurons and promoting neuroplasticity. The paper reviews current advancements and clinical trials related to genetic and stem cell therapies, discussing their efficacy, ethical and technical challenges, and future prospects. It suggests that the integration of these innovative strategies could offer new hope for patients with neurodegenerative disorders, emphasizing the necessity of continued investment in research and development to address the limitations of traditional treatments.O artigo examina as abordagens inovadoras no tratamento de transtornos neurodegenerativos, com um enfoque detalhado nas terapias genéticas e no uso de células-tronco. Transtornos como Alzheimer e Parkinson continuam a desafiar a medicina devido à sua complexidade e à ausência de tratamentos curativos eficazes. A terapia genética, uma das mais recentes inovações, oferece potencial para corrigir as anomalias genéticas subjacentes que contribuem para o desenvolvimento dessas condições. Esta abordagem inclui técnicas como edição de genes e terapia gênica baseada em vetores virais. Simultaneamente, as terapias com células-tronco estão se destacando ao proporcionar a regeneração de neurônios danificados e a promoção da neuroplasticidade. O artigo analisa os avanços atuais e ensaios clínicos de terapias genéticas e de células-tronco, destacando a eficácia, os desafios éticos e técnicos, e as perspectivas futuras. O estudo sugere que a combinação dessas abordagens inovadoras poderá oferecer novas esperanças para os pacientes com transtornos neurodegenerativos, sublinhando a importância de investir em pesquisa e desenvolvimento para superar as limitações dos tratamentos tradicionais

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

Educomunicação e suas áreas de intervenção: Novos paradigmas para o diálogo intercultural

oai:omp.abpeducom.org.br:publicationFormat/1O material aqui divulgado representa, em essência, a contribuição do VII Encontro Brasileiro de Educomunicação ao V Global MIL Week, da UNESCO, ocorrido na ECA/USP, entre 3 e 5 de novembro de 2016. Estamos diante de um conjunto de 104 papers executivos, com uma média de entre 7 e 10 páginas, cada um. Com este rico e abundante material, chegamos ao sétimo e-book publicado pela ABPEducom, em seus seis primeiros anos de existência. A especificidade desta obra é a de trazer as “Áreas de Intervenção” do campo da Educomunicação, colocando-as a serviço de uma meta essencial ao agir educomunicativo: o diálogo intercultural, trabalhado na linha do tema geral do evento internacional: Media and Information Literacy: New Paradigms for Intercultural Dialogue

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