38 research outputs found

    Systematic analysis of reference models in product development: case studies in the agricultural machinery and implementation sector

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    With the growth in the machinery and agricultural implements sector the importance of the area of Product Development Process (PDP) has expanded significantly in the last decades. The surge is due to increased competition among manufacturers, thus requiring high quality products with greater efficiency in their production processes. In addition, the management of the phases that comprise the PDP is considered complex by specialized literature and manufacturing companies. Thus, the objective of the study is to present the main reference models that contextualize the PDP in order to systematically analyze its methodological classifications. In addition, the research seeks to explore the work methodologies currently applied in the PDP of the agricultural machinery and implements manufacturers located in the northwestern region of Rio Grande do Sul - Brazil. The research adopted the Systematic Literature Review (SLR) and the case study as investigation methods, classified as descriptive and comparative, of an exploratory nature. As a result, it was possible to identify a set of reference models that are usually adopted to operationalize the PDP. Research has shown that project support tools are not used by companies, while design and industrial management tools are applied. Finally, it was verified that companies have little knowledge about reference models

    Systematic analysis of reference models in product development: case studies in the agricultural machinery and implementation sector

    Get PDF
    With the growth in the machinery and agricultural implements sector the importance of the area of Product Development Process (PDP) has expanded significantly in the last decades. The surge is due to increased competition among manufacturers, thus requiring high quality products with greater efficiency in their production processes. In addition, the management of the phases that comprise the PDP is considered complex by specialized literature and manufacturing companies. Thus, the objective of the study is to present the main reference models that contextualize the PDP in order to systematically analyze its methodological classifications. In addition, the research seeks to explore the work methodologies currently applied in the PDP of the agricultural machinery and implements manufacturers located in the northwestern region of Rio Grande do Sul - Brazil. The research adopted the Systematic Literature Review (SLR) and the case study as investigation methods, classified as descriptive and comparative, of an exploratory nature. As a result, it was possible to identify a set of reference models that are usually adopted to operationalize the PDP. Research has shown that project support tools are not used by companies, while design and industrial management tools are applied. Finally, it was verified that companies have little knowledge about reference models

    EstratĂ©gias de Prevenção Integradas para Reduzir a IncidĂȘncia de InfecçÔes Associadas ao trato UrinĂĄrio e InfecçÔes na Corrente SanguĂ­nea em Ambientes Hospitalares

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    This article aims to analyze and synthesize, through an integrative literature review, the most effective prevention strategies to reduce the incidence of infections associated with the urinary tract and bloodstream infections in hospital settings. The present work consists of an integrative literature review carried out in June and July 2023. The databases used were: Scientific Electronic Online Library (SCIELO), Latin American and Caribbean Health Sciences Literature (LILACS) and MEDLINE, seeking articles that addressed infection prevention strategies in the hospital context. The health descriptors used were "urinary tract infections", "bloodstream infection" and "prevention and control". Inclusion criteria were articles published in English, Portuguese or Spanish and studies reporting effective prevention interventions. After applying the exclusion criteria, a total of 10 articles were selected for analysis. The literature review revealed that the implementation of adequate hygiene protocols, the use of urinary and intravenous catheters only when strictly necessary, the education and training of health professionals, in addition to the adoption of standard precautionary measures, are essential to reduce the incidence of associated urinary tract infections and bloodstream infections in hospital settings. The integrated approach of these strategies shows promise for improving the safety and quality of patient care. From the integrative literature review, it is concluded that the adoption of integrated prevention strategies, including hygiene protocols, judicious use of medical devices and adequate training of health professionals, is essential to reduce the incidence of infections associated with the urinary tract and bloodstream infections in hospital settings.Este artigo tem por objetivo analisar e sintetizar, por meio de uma revisĂŁo de literatura integrativa, as estratĂ©gias de prevenção mais eficazes para reduzir a incidĂȘncia de infecçÔes associadas ao trato urinĂĄrio e infecçÔes na corrente sanguĂ­nea em ambientes hospitalares. O presente trabalho consiste em uma revisĂŁo de literatura integrativa realizada Junho e Julho de 2023. As bases de dados utilizadas foram: Scientific Eletronic Online Library (SCIELO), Literatura Latino-Americana e do Caribe em CiĂȘncias da SaĂșde (LILACS) e  MEDLINE, buscando artigos que abordassem as estratĂ©gias de prevenção de infecçÔes no contexto hospitalar. Os descritores em saĂșde utilizados foram "infecçÔes do trato urinĂĄrio", "infecção da corrente sanguĂ­nea" e "prevenção e controle". Os critĂ©rios de inclusĂŁo foram artigos publicados em inglĂȘs, portuguĂȘs ou espanhol e estudos que relatavam intervençÔes efetivas de prevenção. ApĂłs a aplicação dos critĂ©rios de exclusĂŁo, um total de 10 artigos foram selecionados para anĂĄlise. A revisĂŁo da literatura revelou que a implementação de protocolos de higiene adequados, o uso de cateteres urinĂĄrios e intravenosos apenas quando estritamente necessĂĄrio, a educação e treinamento dos profissionais de saĂșde, alĂ©m da adoção de medidas de precaução padrĂŁo, sĂŁo fundamentais para reduzir a incidĂȘncia de infecçÔes associadas ao trato urinĂĄrio e infecçÔes na corrente sanguĂ­nea em ambientes hospitalares. A abordagem integrada dessas estratĂ©gias mostra-se promissora para melhorar a segurança e a qualidade do cuidado aos pacientes. A partir da revisĂŁo integrativa da literatura, conclui-se que a adoção de estratĂ©gias de prevenção integradas, incluindo protocolos de higiene, uso criterioso de dispositivos mĂ©dicos e capacitação adequada dos profissionais de saĂșde, Ă© essencial para reduzir a incidĂȘncia de infecçÔes associadas ao trato urinĂĄrio e infecçÔes na corrente sanguĂ­nea em ambientes hospitalares.    Palavras-chave: InfecçÔes do trato urinĂĄrio, infecção da corrente sanguĂ­nea, prevenção e controle

    Pervasive gaps in Amazonian ecological research

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    Pervasive gaps in Amazonian ecological research

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    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

    A922 Sequential measurement of 1 hour creatinine clearance (1-CRCL) in critically ill patients at risk of acute kidney injury (AKI)

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    Pervasive gaps in Amazonian ecological research

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    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
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