A geração z e a conexão 24 horas por dia: influências da internet em adolescentes na contemporaneidade

Objectives: Understanding the influences of the Internet on the psychic, behavioral and socio-cultural aspects of everyday life of adolescents.Methods: This is a systematic review, based on PRISMA. The search for the articles took place in February 2020, in LILACS, SciELO, ScienceDirect and MEDLINE, using the descriptors: Internet, Adolescents, Virtual Reality and Technologies, combined through the Boolean operators AND and OR. The selection followed the following steps: exclusion for not presenting a relation with the theme, reading of the titles, duplicates, abstracts, objectives and full analysis. A total of 2,167 studies were identified and 28 contemplated the inclusion criteria.Results: Influences on the behavior of adolescents, internet users, generating dependence, violence, aggressiveness and suicide risk can be identified. In relation to the psychic dimension, the intensive use of the Internet brings anxiety, depression or anguish. In the socio-cultural aspect, there is a susceptibility to social isolation, because they feel supported in the virtual environment.Conclusion: There is a need to study this subject further, valuing the various influences that affect adolescents in the use of the Internet, in order to subsidize interventions by health professionals.Objetivos: Compreender as influências da internet nos aspectos psíquicos, comportamentais e socioculturais na vida cotidiana dos adolescentes.Métodos: Trata-se de revisão sistemática, baseada no PRISMA. A busca dos artigos ocorreu em fevereiro de 2020, nas bases LILACS, SciELO, ScienceDirect e MEDLINE, utilizando os descritores: Internet, Adolescentes, Realidade Virtual e Tecnologias, combinados por meio dos operadores booleanos AND e OR. A seleção seguiu as seguintes etapas: exclusão por não apresentar relação com a temática, leitura dos títulos, duplicados, resumos, objetivos e análise na íntegra. Foram identificados 2.167 estudos e 28 contemplaram os critérios de inclusão.Resultados: Pode-se identificar influências no *comportamento dos adolescentes, usuários da internet, gerando a dependência, violência, agressividade e risco de suicídio. Em relação à dimensão psíquica, o uso intensivo da internet acarreta ansiedade, depressão ou angústia. No aspecto sociocultural, ocorre uma susceptibilidade ao isolamento social, por se sentirem apoiados no âmbito virtual.Conclusão: Constata-se a necessidade de estudar mais essa temática, valorizando as diversas influências que afetam o adolescente na utilização da internet, de modo a subsidiar intervenções dos profissionais de saúde

Medicina antroposófica bases epistemológicas e filosóficas: Um estudo bibliométrico / Antroposophic medicine epistemological and philosophical bases: A bibliometric study

Este estudo objetiva conhecer o que a literatura especializada em saúde traz a respeito da antroposofia, como também descrever o panorama da produção científica sobre as bases epistemológica e filosófica desta ciência. Trata-se de uma pesquisa exploratória com abordagem quantitativa, foram utilizadas técnicas estatísticas e matemáticas para a análise da produção científica por meio da bibliometria. A busca por artigos desenvolveu-se pela procura de produções científicas baseada em artigos publicados em periódicos e anais de congressos indexados na Biblioteca Virtual em Saúde (BVS). Definiu-se palavras-chaves em português e inglês, utilizando as seguintes expressões de busca: Antroposofia. Prática Holística. Corpo etérico. Como também, Anthroposophy. Holistic Nursing. Etheric body. Em seguida, foram definidos critérios de inclusão e exclusão. A pesquisa foi realizada de forma pareada para melhor quantificação dos resultados. A medicina antroposófica (MA) apresenta uma abordagem multidisciplinar que permite que outras modalidades de terapia sejam inclusos ao tratamento, além da medicamentosa. Permitindo que a assistência seja mais ampla e direcionado ao indivíduo  um todo, em sua total singulaidade. A pesquisa evidenciou diferentes campos de pesquisa, na qual o Brasil obteve destaque, como um dos países com maior número de publicações aos quais a medicina antroposófica e as suas respectivas bases foram evidenciadas. Entretanto, este pesquisa aponta para a necessidade de estudos mais aprofundados a respeito da MA

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

Characterisation of microbial attack on archaeological bone

As part of an EU funded project to investigate the factors influencing bone preservation in the archaeological record, more than 250 bones from 41 archaeological sites in five countries spanning four climatic regions were studied for diagenetic alteration. Sites were selected to cover a range of environmental conditions and archaeological contexts. Microscopic and physical (mercury intrusion porosimetry) analyses of these bones revealed that the majority (68%) had suffered microbial attack. Furthermore, significant differences were found between animal and human bone in both the state of preservation and the type of microbial attack present. These differences in preservation might result from differences in early taphonomy of the bones. © 2003 Elsevier Science Ltd. All rights reserved