Declínio Organizacional e Contexto em Organização Religiosa: A Igreja Universal do Reino de Deus

Religious organizations are in evidence, management models varied and are no guarantee of success. Management theories are generalizable to churches, but they are also specifically specific and face challenges (in this they are not unlike profit-making companies). In the Administration, a research on such organizations is reduced, and its magnitude much smaller than is the life of good portion of humanity and of society in general. For that reason, this article contemplates the organizational decline. It focuses on the Universal Church of the Kingdom of God (IURD) in the period between 2000 and 2010, its context and its specificities. A case study was carried out, with bibliographic description and support. The results suggest, as from a decline in the leadership of the IURD, the concurrent competition of churches with similar and newer characteristics (especially a World Church of God's Power) and the growth of "generic" Evangelical believers, E of people without religion. As organizações religiosas estão em bastante evidência, apresentam modelos de gestão variados e não têm garantia de sucesso. Algumas teorias de Administração são generalizáveis às igrejas, mas elas embutem também especificidades e enfrentam desafios (nisso nem se distinguem das empresas que visam ao lucro). Na Administração, a pesquisa sobre tais organizações é reduzida, e sua magnitude muito menor do que a que elas têm na vida de boa parcela da humanidade e da sociedade em geral. Por aí, este artigo contempla o declínio organizacional. Foca a Igreja Universal do Reino de Deus (IURD) no período entre 2000 e 2010, seu contexto e suas especificidades. Realizou-se um estudo de caso, com descrição e suporte bibliográfico. Os resultados sugerem, como motivos para a decaída da IURD a mudança do perfil de sua liderança, a concorrência acirrada de igrejas com características similares e mais novas (em especial, a Igreja Mundial do Poder de Deus), e o crescimento de fiéis evangélicos  “genéricos” e das pessoas sem religião.

Scoliosis in a patient with nemaline myopathy: a case report and narrative review

Introduction: Nemaline myopathy, described in 1950, is a rare syndrome, and among the possible alterations, scoliosis is a frequent alteration. This article describes the case of a 13-year-old patient with nemaline myopathy and scoliosis treated surgically. During the procedure, several unexpected surgical difficulties were encountered, such as fusion of posterior elements, difficulty in passing screws and liquor leaked out. Therefore, more studies are necessary and the presence of an experimental operation to help with surgical complications are prudent

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, and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space. While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes, vast areas of the tropics remain understudied. In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity, but it remains among the least known forests in America and is often underrepresented in biodiversity databases. To worsen this situation, human-induced modifications 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, 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

FULL-ENDOSCOPIC LUMBAR DISCECTOMY

ABSTRACT Objective: Retrospective study of the functional outcome of patients with lumbar disc herniation who underwent full-endoscopic discectomy. Methods: Fifteen consecutive patients, 10 men and 5 women, mean age of 34.2 years, were evaluated at 15, 30, 90 and 180 days after surgery through the Oswestry Disability Index (ODI) questionnaire and the Visual Analogue Scale (VAS) of axial and lower limbs pain. Results: There was a significant improvement in ODI evaluation of patients when comparing the preoperative results with the third and sixth postoperative month (p<0.05), as well as the VAS for preoperative axial pain with respect to 15, 30 and 90 days (p<0.05) after surgery, and VAS for preoperative pain in the lower limbs with respect to 15, 90 and 180 days postoperatively (p<0.05). Conclusion: The full-endoscopic discectomy is an effective procedure which should be considered as an alternative to conventional discectomy