Cardiac auscultation is one of the most costeffective techniques used to detect and identify many heart conditions. Computer-assisted decision systems based on auscultation can support physicians in their decisions. Unfortunately, the application of such systems in clinical trials is still minimal since most of them only aim to detect the presence of extra or abnormal waves in the phonocardiogram signal, i.e., only a binary ground truth variable (normal vs abnormal) is provided. This is mainly due to the lack of large publicly available datasets, where a more detailed description of such abnormal waves (e.g., cardiac murmurs) exists.To pave the way to more effective research on healthcare recommendation systems based on auscultation, our team has prepared the currently largest pediatric heart sound dataset. A total of 5282 recordings have been collected from the four main auscultation locations of 1568 patients, in the process, 215780 heart sounds have been manually annotated. Furthermore, and for the first time, each cardiac murmur has been manually annotated by an expert annotator according to its timing, shape, pitch, grading, and quality. In addition, the auscultation locations where the murmur is present were identified as well as the auscultation location where the murmur is detected more intensively. Such detailed description for a relatively large number of heart sounds may pave the way for new machine learning algorithms with a real-world application for the detection and analysis of murmur waves for diagnostic purposes.

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Our results showed that Tc-99m HMPAO can be used to label ABMMN cells for in vivo cell visualization, and that brain SPECT imaging with labeled ABMMN cells is a feasible noninvasive method for studying the fate of transplanted cells in vivo. Additionally, our findings demonstrate the localization of these intra-arterially injected cells.

A conservação de sementes intolerantes à dessecação como as do gênero Eugenia é realizada com alto grau de umidade, favorecendo o ataque de microrganismos. Essa interação da semente com fungos de armazenamento pode acelerar consideravelmente a velocidade de deterioração das mesmas. O tratamento com fungicidas pode contaminar o meio ambiente com resíduos tóxicos, tornando necessário o desenvolvimento de métodos alternativos como os tratamentos térmicos e osmóticos. No presente trabalho, objetivou-se analisar a influência da redução do teor de água e a eficiência de tratamentos térmicos (imersão das sementes em água, de 35 °C a 75 °C, por 30 a 150 min), osmóticos (imersão contínua em solução osmótica a -1,5 MPa a -4,0 MPa) e químicos (fungicidas carboxin+tiram, captan e carbendazin+tiram) na redução do potencial de inóculo inicial de fungos. Os tratamentos químicos foram os mais eficientes para o controle de Penicillium sp., Cladosporium sp., Fusarium sp., Pestalotiopsis sp. e Alternaria sp., detectados com mais frequência em sementes de Eugenia brasiliensis (grumixameira), E. pyrifomis (uvaieira) e E. uniflora (pitangueira). Tratamentos térmicos e osmóticos demonstram grande potencial de controle, mas necessitam ajustes metodológicos, incluindo-se a associação de ambos e a reaplicação dos tratamentos durante o armazenamento.