Noncompaction Cardiomyopathy. A Review of Eight Cases

A miocardiopatia não compactada isolada é uma doença geneticamente determinada cuja patogénese parece envolver uma paragem no desenvolvimento do endomiocárdio. Morfologicamente caracteriza-se pela presença de trabeculações proeminentes separadas por profundos recessos preenchidos por fluxo e como tal por Doppler a cor no estudo ecocardiográfico. No sentido de melhor caracterizar esta entidade recentemente descrita, de prognóstico pouco esclarecido, fazemos uma revisão dos casos diagnosticados no nosso hospital, descrevendo as características clínicas, electrocardiográficas e ecocardiográficas, bem como a terapêutica instituída e seguimento clínico. A propósito da revisão dos casos, é feita uma exposição e discussão da literatura mais relevante relativamente a etiopatogenia, clínica, critérios de diagnóstico, terapêutica e prognóstico

An imaging spectroscopic survey of the planetary nebula NGC 7009 with MUSE

Aims. The spatial structure of the emission lines and continuum over the 5000 extent of the nearby, O-rich, PN NGC 7009 (Saturn Nebula) have been observed with the MUSE integral field spectrograph on the ESO Very Large Telescope. This study concentrates on maps of line emission and their interpretation in terms of physical conditions. Methods. MUSE Science Verification data, in <0.600 seeing, have been reduced and analysed as maps of emission lines and continuum over the wavelength range 4750–9350 Å. The dust extinction, the electron densities and temperatures of various phases of the ionized gas, abundances of species from low to high ionization and some total abundances are determined using standard techniques. Results. Emission line maps over the bright shells are presented, from neutral to the highest ionization available (He II and [Mn V]). For collisionally excited lines (CELs), maps of electron temperature (Te from [N II] and [S III]) and density (Ne from [S II] and [Cl III]) are available and for optical recombination lines (ORLs) temperature (from the Paschen jump and ratio of He I lines) and density (from high Paschen lines). These estimates are compared: for the first time, maps of the differences in CEL and ORL Te’s have been derived, and correspondingly a map of t 2 between a CEL and ORL temperature, showing considerable detail. Total abundances of only He and O were formed, the latter using three ionization correction factors. However, the map of He/H is not flat, departing by ∼2% from a constant value, with remnants corresponding to ionization structures. An integrated spectrum over an area of 2340 arcsec2 was also formed and compared to 1D photoionization models. Conclusions. The spatial variation of a range of nebular parameters illustrates the complexity of the ionized media in NGC 7009. These MUSE data are very rich with detections of hundreds of lines over areas of hundreds of arcsec2 and follow-on studies are outlined

Pervasive gaps in Amazonian ecological research.

This is the final version. Available from Elsevier via the DOI in this record. Data and code availability: • Metadata have been deposited at Zenodo and are publicly available as of the date of publication. DOIs are listed in the key resources table. • All original code has been deposited at Zenodo and is publicly available as of the date of publication. DOIs are listed in the key resources table. • Any additional information required to reanalyse the data reported in this paper is available from the lead contact upon request.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.Conselho Nacional de Desenvolvimento Científico (CNPq)Conselho Nacional de Desenvolvimento Científico (CNPq)São Paulo Research Foundation (FAPESP)São Paulo Research Foundation (FAPESP)São Paulo Research Foundation (FAPESP)São Paulo Research Foundation (FAPESP)Natural Environment Research Council (NERC)University of Bristol (PolicyBristol)University of Bristol Climate and Net Zero Impact AwardsUniversity of Bristol Elizabeth Blackwell Institute Rapid Research FundingNatural Environment Research Council (NERC)European Union’s Horizon 202