Seleção de indicadores ambientais com foco em armazém verde: Selection of environmental indicators with focus on green warehouse

As emissões geradas por edifícios de logística, incluindo armazéns e instalações de triagem, são significativas, representando cerca de 11% das emissões da cadeia de suprimentos. No caso da operação de um armazém, a iluminação, refrigeração/aquecimento e equipamentos de carga são os principais responsáveis pelo consumo energético e emissão de Gases de Efeito Estufa (GEE). Entretanto, a norma ISO 14001, que trata da gestão ambiental, não define quais os principais indicadores a serem utilizados para avaliação e monitoramento da operação. Desta forma, foi identificada a necessidade de se adotar práticas verde na operação de armazém. A proposta deste artigo é apresentar um método para selecionar indicadores que permitam avaliar e monitorar práticas que tornem a operação do armazém, de fato, verde. Esta pesquisa analisa a confiabilidade dos indicadores escolhidos por meio do método alfa de Cronbach, seguido de sua validação. O resultado aponta 27 indicadores mais relevantes a serem considerados para armazém verde

Estresse e ansiedade estado em atletas profissionais de futebol masculino lesionados e não lesionados da Cidade de Maringá –PR / Stress and state anxiety in male soccer athletes injured and non-injured of Maringá – PR

A reabilitação de um atleta não é algo simples de lidar, devido à grandes influências negativas. Desta forma este estudo teve por objetivo analisar os níveis de estresse e ansiedade estado de atletas de futebol masculino lesionado e não lesionados da cidade de Maringá- PR. Foram analisados 30 atletas de Futebol com idade entre 18 e 27 anos e do sexo Masculino, sendo 16 lesionados e 14 não lesionados. Os instrumentos utilizados foram: Ficha de Identificação do atleta, Escala de percepção de estresse 10 e Inventário de Estado de Ansiedade Competitiva 2 (CSAI-2.). A coleta de dados foi realizada em uma clínica de fisioterapia e um clube de futebol da cidade de Maringá – PR. A análise dos dados ocorreu através de estatística descritiva e inferencial (Mediana e intervalo interquartílico) utilizando os testes, Shapiro wilk, Teste “U” de Mann- Whitnney, correlação de Spearman e coeficiente Alpha de Cronbach (p < 0,5). A partir de todas as informações obtidas através da análise de dados, pode-se concluir que atletas lesionados possuem níveis de estresse e ansiedade maiores que os não lesionados sendo necessário seu controle em um processo de reabilitação.

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

Pátio cercado por árvores de espinho e outras frutas, sem ordem e sem simetria: O quintal em vilas e arraiais de Minas Gerais (séculos XVIII e XIX)

This article analyses urban and rural backyards in Minas Gerais, in the late18th and early 19th centuries. Sources include probate records, foreign travelers accounts, administrative documents and iconography. These spaces are interpreted as a part of material culture, as provisioning grounds, and places of sociability and family intimacy. The connections of yards within households and the surrounding streetscapes are examined, revealing that they can be viewed as instruments of balance in the overall urban landscape.O texto objetiva analisar os quintais urbanos e rurais em Minas Gerais, ao final do século XVIII e início do século XIX. Interpreta evidências documentais de inventários post mortem, narrativas de viajantes estrangeiros, documentos administrativos e iconográficos, interpretando esses espaços, na perspectiva da cultura material, como lugares de abastecimento alimentar, sociabilidades e da intimidade familiar. Considera a ligação dos quintais com a casa e as ruas e os vê como espaços de equilibrio da paisagem urbana

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

Peroneal Tenodesis With the Use of Tendoscopy: Surgical Technique and Report of 1 Case

Peroneus brevis tendon injury is the most common lesion of the peroneal tendons. The initial treatment is conservative, and surgical treatment is indicated if conservative treatment fails. It is often necessary to open the entire upper and lower retinaculum to obtain adequate visualization of the structures. We present a case in which the peroneus brevis tenodesis was used with the aid of tendoscopy. This technique should be used for patients with lesions affecting more than 50% of the tendon diameter. We found that, by making small incisions, the patient recovered well, quickly, with resolution of pain