Semilinear fractional differential equations: global solutions, critical nonlinearities and comparison results

In this work we study several questions concerning to abstract fractional Cauchy problems of order α ∈ (0, 1). Concretely, we analyze the existence of local mild solutions for the problem, and its possible continuation to a maximal interval of existence. The case of critical nonlinearities and corresponding regular mild solutions is also studied. Finally, by establishing some general comparison results, we apply them to conclude the global well-posedness of a fractional partial differential equation coming from heat conduction theory.Conselho Nacional de Desenvolvimento Científico e TecnológicoCoordenação de aperfeiçoamento de pessoal de nivel superiorFundação de Amparo à Pesquisa do Estado de São PauloMinisterio de EducaciónMinisterio de Ciencia e InnovaciónJunta de Andalucí

Prevalence and characterization of maxillary sinus septa in a brazilian population

The aim of this study was to assess the anatomic aspects of the maxillary sinus septa, by means of computed tomography images, in a Brazilian population. The results might be of clinical significance in sinus lift surgery planning. In the study, 123 co

AVANÇOS RECENTES NO DIAGNÓSTICO PRECOCE DO CÂNCER DE PULMÃO: UMA ANÁLISE DE REVISÕES SISTEMÁTICAS

The high mortality rate from lung cancer, the leading cause of cancer death in Brazil, highlights the urgent need for effective screening and early diagnosis policies. Late detection, often in advanced stages, compromises treatment options. The aim of this study was to reflect on the importance of recent advances in the early diagnosis of lung cancer. A systematic literature review was carried out using the Scielo, Lilacs and Medline databases. After a qualitative analysis of the results, it was concluded that early identification of the disease allows for more effective therapeutic interventions, resulting in greater survival and better clinical outcomes for patients.A alta taxa de mortalidade pelo câncer de pulmão, principal causa de óbito por câncer no Brasil, ressalta a urgência de políticas efetivas de rastreamento e diagnóstico precoce. A detecção tardia, frequentemente nos estágios avançados, compromete as opções de tratamento. Este estudo teve como objetivo refletir sobre a importância do avanços recentes no diagnóstico precoce do câncer de pulmão. Para isso, foi desenvolvida uma revisão sistemática da literatura, utilizando as bases de dados Scielo, Lilacs e Medline. Após análise qualitativa dos resultados, concluiu-se que a identificação precoce da doença permite intervenções terapêuticas mais eficazes, resultando em maior sobrevida e melhores resultados clínicos para os pacientes

Níveis disfuncionais de ansiedade relacionada ao Coronavírus em estudantes de medicina: Dysfunctional levels of Coronavirus-related anxiety in medical students

As preocupações com a saúde mental das pessoas afetadas pela pandemia de coronavírus não foram abordadas adequadamente. Isso é surpreendente, uma vez que tragédias em massa, particularmente aquelas que envolvem doenças infecciosas, muitas vezes desencadeiam ondas de medo e ansiedade elevados que são conhecidos por causar perturbações maciças no comportamento e no bem-estar psicológico de muitos na população. Assim, o objetivo desse trabalho é demonstrar os níveis disfuncionais de ansiedade relacionada ao coronavírus em estudantes de medicina. Para isso, foi realizado uma revisão sistemática sobre a temática

Erratum to: The study of cardiovascular risk in adolescents – ERICA: rationale, design and sample characteristics of a national survey examining cardiovascular risk factor profile in Brazilian adolescents

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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