Strategy on Club Sector: An Application of the Zaccarelli and Fischmann Model Application at a Sports and Entertainment Club in Minas Gerais

For organizations to remain competitive in the market, it is necessary to identify and adopt strategies appropriate to the operating environment. Minas Tênis Clube, the object of this study, adopted a series of strategies from 1980 to 2013 that were analyzed in the light of the work of Zaccarelli and Fischmann (1994). In order to reach this objective, a bibliographical research was carried out considering the main concepts related to the themes of strategy, client and market. Semi-structured interviews were conducted with 25 randomly chosen volunteers who had one or more of the following relationships with Minas Tênis Clube: partner or adviser, director, employee, representative of state or municipal public authority, partner company, supplier, athlete or former athlete. After saturation, these contents were submitted to content analysis according to Bardin. Generic Strategies (GS) can be adopted in a variety of ways and in various combinations, by all organizations, regardless of their size or the market in which they operate, expanding their operations or recovering lost customers or niches. This article aimed to identify and analyze the GS adopted in the management of the MTC in the last three decades, based on the model proposed by these authors. The results showed that the GS of Adaptation, Cooperation, Product-Market Differentiation and Opportunity were adopted in the management of this Club and were the most relevant in the period studied

FAISCA – Feira agroecológica de inclusão social, cultura e artes/ FAISCA - Agricultural fair for social inclusion, culture and arts

O presente artigo busca enunciar o trabalho de incubação universitária qual culminaria na realização de uma feira agroecológica que, primeiramente, se destinaria a atender os empreendimentos assessorados pela IEES/CAU/UEM, Incubadora de Empreendimentos Econômicos Solidários da Universidade Estadual de Maringá, localizada no campus avançado de Umuarama, Paraná. Não obstante tendo assegurado seu objetivo, a FAISCA – Feira Agroecológica de Inclusão Social, Cultura e Artes, além de atender a demanda de escoamento da importante produção agroecológica de assentados da reforma agrária, de pequenos agricultores da agricultura familiar da região e do artesanato sustentável de entidades assistenciais públicas e privadas do município, também acabaria por se notabilizar no contexto regional ao oferecer um espaço público acessível de visibilidade a movimentos sociais e culturais. Tal dinâmica de inclusão criativa e produtiva suplantaria o trabalho incubatório ao estabelecer uma plataforma extensionista de permanente apresentação de seguimentos artísticos locais permeados por potencialidades acadêmicas e solidárias antes invisíveis à comunidade e ao próprio processo de incubação

Relationship between ground reaction forces during walking and physical activity in postmenopause women

The menopause triggers an increase in fat mass and visceral fat mass anda reduction in muscle mass of the lower limbs, limiting mobility and functionalautonomy of women (Stergiou et al. 2002). The ground reaction forces (GRF)show the magnitude and duration of the charge applied when the foot is in contactwith the ground (Saad et al. 2011). The study of this association be-comes relevantto prevent musculoskeletal injury and promoting a healthy lifestyle in this type ofwoman.The objective of this study has been the analysis of GRF components vertical andantero-posterior during walking in postmenopausal women, according to the levelsof physical activity. The sample studied included 53 postmenopausal women agedbetween 48 and 69 year. The GRF data was collected using a force platformKistler 9281B, and adopting the 3 steps protocol (Bus et al. 2005).The physical activity was measured using an Actigraph GT1M accelerometer andthe assessment was done in 4 days, including 2 weekend days. The association ofvariables was studied using the R Pearson correlation coefficient, and step-wiseregression models were developed. A statistical level of significance equal to 5%was adopted.The time of moderate-vigorous physical activity (TMVPA) revealed one predictor(p 0.05) independent of the minimum force peak during the support phase (Fz2)(ß= -0.29). The braking peak (ß = -0.32) and the impulse until Fy1 (ß = -0.36) explains8.7% and 10.9% of variation of the latter (EPE=0.02 N.s/kg). The maximumvertical peak during the loading phase of walking cycle (Fz1) (ß=0.34) is influencedin 11,1% by the ageing. The time of menopause (TM) has influence theFz1 loading rate (ß=0.28) and the rating Fz2/Fz1 (ß=-0.31).The results suggest that the TMVPA, age and TM, influence the behavior ofground support, causing differences in the accommodation of the external load 2during the walking cycle, and therefore should be considered in the prevention ofmusculoskeletal disorde

Relação das forças reativas do apoio durante o caminhar e a atividade física em mulheres pós-menopáusicas

A pós-menopausa é um estado inevitável da vida da mulher que se estende desde a instalação da amenorreia permanente. Nesta fase é importante a prática de atividade física para contrariar os efeitos negativos da menopausa. O objetivo deste estudo foi analisar o comportamento de algumas variáveis da força reativa do apoio, em função dos níveis de atividade física em mulheres pós-menopáusicas. A amostra incluiu 53 mulheres pósmenopáusicas, que foram avaliadas em termos de composição corporal/antropometria, atividade física e componentes biomecânicas do apoio. Os resultados sugerem que a TAFMV, a idade e o TM influenciam as FRA em mulheres pós-menopáusicas, devendo ser consideradas na prevenção de lesões músculo-esqueléticas e na prescrição de programas de exercício orientados para esta população

Perfil sociodemográfico de pacientes portadores de HIV/AIDS internados no Hospital Universitário Alcides Carneiro para tratamento de infecções oportunistas / Sociodemographic profile of HIV/AIDS patients admitted to Hospital Universitário Alcides Carneiro for treatment of opportunistic infections

O Brasil tem enfrentado uma transição no perfil do HIV, seguindo rumo a feminização, pauperização, interiorização, heterossexualização e juvenilização da doença – fenômenos os quais foram identificados em artigo recente, em amostras de populações vivendo com HIV/AIDS na Capital do Estado da Paraíba. A identificação do perfil sociodemográfico é importante, uma vez que o perfil de pessoas vivendo com HIV/AIDS (PVHA) é muito variável a depender da localidade onde residem. Apesar de Campina Grande ser a segunda cidade na Paraíba com maior número de casos acumulados, não há contribuições científicas recentes sobre a temática na região. O objetivo deste estudo foi descrever o perfil sociodemográfico dos pacientes portadores de HIV/AIDS internados no serviço de Infectologia do Hospital Universitário Alcides Carneiro (HUAC) para tratamento de Infecções Oportunistas. Trata-se de uma pesquisa de corte transversal, do tipo observacional, a qual contou como instrumento de coleta de dados, questionários aplicados aos usuários internados na Ala E, do mesmo serviço, no período entre Agosto de 2017 e Julho de 2018. O perfil predominante foi de homens heterossexuais na faixa etária de 50 a 54 anos, pardos, analfabetos, desempregados, ou com renda salarial de até um salário mínimo, não usuário de drogas, com provável modo de transmissão viral por via sexual, com situação de residência urbana, estado civil solteiros, com média de 3 filhos, católicos, os quais, 50% alegavam usar preservativo. De forma comparativa, o perfil sociodemográfico apresentou a maior parte das variáveis semelhantes à demonstrada por outros pesquisadores brasileiros, seguindo as tendências nacionais. Conclui-se que o perfil epidemiológico do grupo populacional estudado acompanha o padrão nacional, exceto quanto à faixa etária, que se apresentou, predominantemente, acima de 50 anos nos indivíduos estudados na atual pesquisa

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