Consulting project for the definition of feels like home’s growth strategy for the next 5 years analysis of the property management industry and recent disruptions

Feels Like Home is a property management firm and the leader in the Portuguese market. With new competitors entering the markets, FLH has to develop new strategies to main ta in its position. For that ,it was performed a deep market analysis and an internal analysis to the company, based on exper interviews, surveys, research finding setc. It was concluded that FLH has a lo to froom for improvements inside its own departments and organization. There fore, recommendations were made in order toover comes ome challenges that FLH could face in the future

Formação e conhecimento de professores sobre a temática da saúde na educação física escolar

A Formação Continuada de professores assume um papel relevante dentro do cenário educacional e oportuniza reflexões e ações que contribuem com as mudanças necessárias para o processo de ensino da saúde na escola. Deste modo, o estudo objetiva-se em realizar um diagnóstico acerca da compreensão dos professores de Educação Física sobre o ensino da saúde na escola. A pesquisa é de abordagem qualitativa, com tipo de estudo de caso que é conceituado como um estudo que se aprofunda diante dos objetos estudados. Os participantes da pesquisa foram 10 professores de Educação Física e a coleta de dados através da aplicação de um questionário. Sendo assim, os resultados da pesquisa mostram que o ensino da saúde é uma temática pouco estudada e conhecida na formação continuada dos professores sujeitos da pesquisa, mesmo a Educação Física possuindo diferentes possibilidades metodológicas de ensino, o conteúdo que mais se destaca é o esportivismo atrelado a um viés tecnicista, e assim as outras perspectivas de ensino como a saúde é um tanto fragilizada. Desta forma, conclui-se que as metodologias pedagógicas que favorecem o ensino da saúde precisam ser vistos como elemento primordial para ser trabalhado na comunidade educacional, se baseando nas ações multidisciplinares para a promoção da saúde, assim sendo, faz se necessário  a busca por formação continuada para o aprimoramento da competência de ensino para além do esportivismos, objetivando ressaltar de forma mais abrangente a temática do ensino da saúde na escola por meio da interdisciplinaridade

Caracterização do Perfil Epidemiológico do número de óbitos em mulheres por Neoplasia Maligna do Colo de útero no estado do Piauí, entre 2018 e 2020

INTRODUCTION: Cervical Cancer originates from oncogenic types of the Human Papillomavirus (HPV). Even with forms of prevention and screening in Primary Care, it represents a public health problem in Brazil, due to its high morbidity and mortality in women. OBJECTIVE: To determine the epidemiological profile of deaths due to malignant neoplasia of the cervix, in the state of Piauí, during the time period between 2018 and 2022. METHODOLOGY: This is a retrospective, quantitative and descriptive study, with data collection in the System of Mortality Information (SIM), obtained through DATASUS. The following aspects were observed: year of death, color/race, age group and municipality of occurrence. RESULTS: In total, 704 women died between 2018 and 2022. Regarding color/race, there is a prevalence in brown women, with 472 (67.04%), followed by white women, with 130 ( 18.46%) and black women, with 64 (9.09%).  Regarding age group, the most affected are 50 to 59 years old, with 155 (26.81%), followed by 40 and 49 years old, with 148 (25.6%) and between 30 and 39 years old, with 75 (12.97%). CONCLUSION: Analysis of deaths from cervical cancer in Piauí between 2018 and 2022 reveals worrying trends. The distribution per year shows an average of 140.8 deaths, with peaks in 2022 and 2019. Brown women are the most affected, followed by white and black women.  The most affected age group is from 50 to 59 years old. Teresina concentrates the majority of cases, followed by Parnaíba and Picos.  Prevention strategies and access to equitable health services are essential to combat cervical cancer in the state. Therefore, socio-educational measures in favor of women's health must be intensified, since, if identified early, this neoplasm has a better prognosis, reducing the mortality rate considerably.INTRODUÇÃO: O Câncer de Colo            Uterino é originado dos tipos oncogênicos do Papilomavírus Humano (HPV). Mesmo com formas de prevenção e de rastreio na Atenção Primária, representa um problema de saúde pública no Brasil, devido a sua alta morbimortalidade nas mulheres. OBJETIVO: Determinar o perfil epidemiológico das mortes por neoplasia maligna de colo de útero, no estado do Piauí, no período entre 2018 e 2022. METODOLOGIA: Trata-se de um estudo de caráter retrospectivo, quantitativo e descritivo, com coleta de dados no Sistema de Informações sobre Mortalidade (SIM), obtidos através do DATASUS. Foram observados: ano do óbito, cor/raça, faixa etária e município de ocorrência. RESULTADOS: No total, 704 mulheres foram a óbito entre os anos de 2018 e 2022. No que se refere à cor/raça, nota-se prevalência nas pardas, com 472 (67,04%), seguidas das brancas, com 130 (18,46%) e das pretas, com 64 (9,09%). Em relação à faixa etária, as mais acometidas estão entre os 50 aos 59 anos, com 155 (26,81%), seguidas dos 40 aos 49 anos, com 148 (25,6%) e dos 30 aos 39 anos, com 75 (12,97%). CONCLUSÃO: A análise dos óbitos por câncer do colo do útero no Piauí entre 2018 e 2022 revela tendências preocupantes. A distribuição por ano mostra uma média de 140,8 óbitos, com picos em 2022 e 2019. Mulheres pardas são as mais afetadas, seguidas por brancas e pretas. A faixa etária mais atingida é entre 50-59 anos. Teresina concentra a maioria dos casos, seguida por Parnaíba e Picos. Estratégias de prevenção e acesso a serviços de saúde equitativos são essenciais para combater o câncer do colo do útero no estado. Dessa maneira, medidas socioeducativas em prol da saúde da mulher devem ser intensificadas. Visto que, se identificado precocemente, essa neoplasia apresenta melhor prognóstico, diminuindo a taxa de mortalidade consideravelmente

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

Catálogo Taxonômico da Fauna do Brasil: setting the baseline knowledge on the animal diversity in Brazil

The limited temporal completeness and taxonomic accuracy of species lists, made available in a traditional manner in scientific publications, has always represented a problem. These lists are invariably limited to a few taxonomic groups and do not represent up-to-date knowledge of all species and classifications. In this context, the Brazilian megadiverse fauna is no exception, and the Catálogo Taxonômico da Fauna do Brasil (CTFB) (http://fauna.jbrj.gov.br/), made public in 2015, represents a database on biodiversity anchored on a list of valid and expertly recognized scientific names of animals in Brazil. The CTFB is updated in near real time by a team of more than 800 specialists. By January 1, 2024, the CTFB compiled 133,691 nominal species, with 125,138 that were considered valid. Most of the valid species were arthropods (82.3%, with more than 102,000 species) and chordates (7.69%, with over 11,000 species). These taxa were followed by a cluster composed of Mollusca (3,567 species), Platyhelminthes (2,292 species), Annelida (1,833 species), and Nematoda (1,447 species). All remaining groups had less than 1,000 species reported in Brazil, with Cnidaria (831 species), Porifera (628 species), Rotifera (606 species), and Bryozoa (520 species) representing those with more than 500 species. Analysis of the CTFB database can facilitate and direct efforts towards the discovery of new species in Brazil, but it is also fundamental in providing the best available list of valid nominal species to users, including those in science, health, conservation efforts, and any initiative involving animals. The importance of the CTFB is evidenced by the elevated number of citations in the scientific literature in diverse areas of biology, law, anthropology, education, forensic science, and veterinary science, among others

Bioguided Purification of Active Compounds from Leaves of Anadenanthera colubrina var. cebil (Griseb.) Altschul

Anadenanthera colubrina var cebil (Griseb.) Altschul is a medicinal plant found throughout the Brazilian semi-arid area. This work performed a bioguided purification of active substances present in ethyl acetate extract from A. colubrina leaves. The anti-Staphylococcus aureus and antioxidant actions were used as markers of bioactivity. The extract was subjected to flash chromatography resulting in five fractions (F1, F2, F3, F4, and F5). The fractions F2 and F4 presented the highest antimicrobial action, with a dose able to inhibit 50% of bacteria growth (IN50) of 19.53 μg/mL for S. aureus UFPEDA 02; whereas F4 showed higher inhibitory action towards DPPH radical (2,2-diphenyl-1-picryl-hydrazyl-hydrate) [dose able to inhibit 50% of the radical (IC50) = 133 ± 9 μg/mL]. F2 and F4 were then subjected to preparative high-performance liquid chromatography (HPLC) and nuclear magnetic resonance (NMR), resulting in the identification of p-hydroxybenzoic acid and hyperoside as the major compounds in F2 and F4, respectively. Hyperoside and p-hydroxybenzoic acid presented IN50 values of 250 μg/mL and 500 μg/mL against S. aureus UFPEDA 02, respectively. However, the hyperoside had an IN50 of 62.5 μg/mL against S. aureus UFPEDA 705, a clinical isolate with multidrug resistant phenotype. Among the purified compounds, the proanthocyanidins obtained from F2 exhibited the higher antioxidant potentials. Taken together, these results highlight the potential of A. colubrina leaves as an alternative source of biomolecules of interest for the pharmaceutical, food, and cosmetic industries