Contribuições para o planejamento e controle de obras em uma empresa de porte médio – estudo de caso

Artigo submetido ao Curso de Engenharia Civil da UNESC - como requisito parcial para obtenção do Título de Engenheiro CivilO atual cenário da indústria da construção civil apresenta um alto grau de exigências para a sua competitividade e produtividade, constatando que é inevitável investir em novas práticas de gestão de planejamento e controle de obras. Nesta pesquisa o objetivo geral caracterizou-se por estudar os processos de planejamento e controle adotados para a obra do estudo de caso e compará-los com os conceitos e práticas propostos na literatura. Considerou-se para o estudo de caso uma edificação comercial, com múltiplos pavimentos, localizada no município de Criciúma-SC e executada por uma empresa construtora local na modalidade de empreitada global de material e mão de obra. Pesquisou-se referências bibliográficas para a obtenção e organização das práticas e conceitos teóricos propostos por diversos autores para o processo de planejamento e controle de obras. Organizou-se estes dados em um quadro sinóptico observando-se o trinômio prazo, custos e qualidade. Para a coleta de evidências, foi elaborado um plano de ação, composto por entrevistas, observações diretas, documentos e registros fotográficos. Apresentou-se os resultados para a situação atual e para as contribuições nos processos de planejamento e controle da obra em diagrama de fluxo de dados (DFD). Os resultados apontam a ausência formal de algumas ações, quando comparadas à situação atual do processo de planejamento e controle da obra com as proposições da literatura. O estudo sugere que a carência do planejamento a médio prazo é onde se encontram o maior número de ausências das práticas e conceitos propostos pelas referências bibliográficas estudadas

Perfil Epidemiológico de mães de pacientes com transtorno do Espectro Autista da Associação de Pais de Autistas do Município de São João Del Rei / Epidemiological profile of mothers of patients with autistic spectrum disorder of the Association of Parents of Autism of the Municipality of São João Del Rei

O autismo hoje é definido como TEA (Transtorno do Espectro Autista) e é conhecido como um estado ou uma condição em que o indivíduo parece estar recluso a si próprio. Pouco se conhece sobre a patogenia do autismo e, com isso, os sintomas ainda são pouco claros. Alguns fatores de riscos podem estar envolvidos como: aspiração de mecônio, lesão ou traumatismo no nascimento, malformação congênita, anemia no lactente e incompatibilidade ABO ou Rh também estão entre os fatores relacionados. Além disso, sabe-se que há um componente genético envolvido para que o transtorno se manifeste. O aumento da prevalência do autismo está possivelmente relacionado às mudanças na conscientização, critérios diagnósticos mais apurados, maior acesso a instrumentos de diagnóstico ou triagem. Este trabalho teve por objetivo analisar a frequência das etiologias para a predição do TEA na ASPAS (Associação de Pais de Autistas de São João del Rei-MG), indicando os fatores de riscos que podem estar associados ao TEA. Foi realizado um estudo envolvendo 16 pacientes de ambos os sexos assistidos pela ASPAS. Os dados coletados foram:sexo, idade materna no parto, idade gestacional no parto, uso de medicação no decorrer da gestação, traumas obstétricos ou complicações periparto, incompatibilidade do sistema ABO(Rh), diabetes mellitus gestacional, doença autoimune na história familiar, infecções no período gestacional, exposição a poluentes atmosféricos, carência de vitamina D no período gestacional, tabagismo no período gestacional, . A análise foi realizada através das distribuições de frequências e porcentagem. Foi possível delinear o perfil epidemiológico dos pacientes, observando os fatores de risco e as características demográficas.Estes resultados poderão auxiliar nas condutas de assistência aos pacientes com TEA de São João del Rei - MG

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

Prevalence, associated factors and outcomes of pressure injuries in adult intensive care unit patients: the DecubICUs study

Funder: European Society of Intensive Care Medicine; doi: http://dx.doi.org/10.13039/501100013347Funder: Flemish Society for Critical Care NursesAbstract: Purpose: Intensive care unit (ICU) patients are particularly susceptible to developing pressure injuries. Epidemiologic data is however unavailable. We aimed to provide an international picture of the extent of pressure injuries and factors associated with ICU-acquired pressure injuries in adult ICU patients. Methods: International 1-day point-prevalence study; follow-up for outcome assessment until hospital discharge (maximum 12 weeks). Factors associated with ICU-acquired pressure injury and hospital mortality were assessed by generalised linear mixed-effects regression analysis. Results: Data from 13,254 patients in 1117 ICUs (90 countries) revealed 6747 pressure injuries; 3997 (59.2%) were ICU-acquired. Overall prevalence was 26.6% (95% confidence interval [CI] 25.9–27.3). ICU-acquired prevalence was 16.2% (95% CI 15.6–16.8). Sacrum (37%) and heels (19.5%) were most affected. Factors independently associated with ICU-acquired pressure injuries were older age, male sex, being underweight, emergency surgery, higher Simplified Acute Physiology Score II, Braden score 3 days, comorbidities (chronic obstructive pulmonary disease, immunodeficiency), organ support (renal replacement, mechanical ventilation on ICU admission), and being in a low or lower-middle income-economy. Gradually increasing associations with mortality were identified for increasing severity of pressure injury: stage I (odds ratio [OR] 1.5; 95% CI 1.2–1.8), stage II (OR 1.6; 95% CI 1.4–1.9), and stage III or worse (OR 2.8; 95% CI 2.3–3.3). Conclusion: Pressure injuries are common in adult ICU patients. ICU-acquired pressure injuries are associated with mainly intrinsic factors and mortality. Optimal care standards, increased awareness, appropriate resource allocation, and further research into optimal prevention are pivotal to tackle this important patient safety threat

Correction to: Prevalence, associated factors and outcomes of pressure injuries in adult intensive care unit patients: the DecubICUs study

The original version of this article unfortunately contained a mistake

Prevalence, associated factors and outcomes of pressure injuries in adult intensive care unit patients: the DecubICUs study

Funder: European Society of Intensive Care Medicine; doi: http://dx.doi.org/10.13039/501100013347Funder: Flemish Society for Critical Care NursesAbstract: Purpose: Intensive care unit (ICU) patients are particularly susceptible to developing pressure injuries. Epidemiologic data is however unavailable. We aimed to provide an international picture of the extent of pressure injuries and factors associated with ICU-acquired pressure injuries in adult ICU patients. Methods: International 1-day point-prevalence study; follow-up for outcome assessment until hospital discharge (maximum 12 weeks). Factors associated with ICU-acquired pressure injury and hospital mortality were assessed by generalised linear mixed-effects regression analysis. Results: Data from 13,254 patients in 1117 ICUs (90 countries) revealed 6747 pressure injuries; 3997 (59.2%) were ICU-acquired. Overall prevalence was 26.6% (95% confidence interval [CI] 25.9–27.3). ICU-acquired prevalence was 16.2% (95% CI 15.6–16.8). Sacrum (37%) and heels (19.5%) were most affected. Factors independently associated with ICU-acquired pressure injuries were older age, male sex, being underweight, emergency surgery, higher Simplified Acute Physiology Score II, Braden score 3 days, comorbidities (chronic obstructive pulmonary disease, immunodeficiency), organ support (renal replacement, mechanical ventilation on ICU admission), and being in a low or lower-middle income-economy. Gradually increasing associations with mortality were identified for increasing severity of pressure injury: stage I (odds ratio [OR] 1.5; 95% CI 1.2–1.8), stage II (OR 1.6; 95% CI 1.4–1.9), and stage III or worse (OR 2.8; 95% CI 2.3–3.3). Conclusion: Pressure injuries are common in adult ICU patients. ICU-acquired pressure injuries are associated with mainly intrinsic factors and mortality. Optimal care standards, increased awareness, appropriate resource allocation, and further research into optimal prevention are pivotal to tackle this important patient safety threat

1ª Fase - Jogo Eletrônico de Soma Ponto

O presente artigo descreve o desenvolvimento de um aplicativodenominado Soma Ponto, elaborado na linguagem C a partir de conceitos de lógica de programação, estruturas condicionais e de repetição. O jogoeletrônico resultante desta pesquisa representa um trabalho interdisciplinar de Algoritmos e Programação e Metodologia científica e da Pesquisa da 1ª fase do curso de Ciência da Computação da UNESC