Additive Margin SincNet for Speaker Recognition

Speaker Recognition is a challenging task with essential applications such as authentication, automation, and security. The SincNet is a new deep learning based model which has produced promising results to tackle the mentioned task. To train deep learning systems, the loss function is essential to the network performance. The Softmax loss function is a widely used function in deep learning methods, but it is not the best choice for all kind of problems. For distance-based problems, one new Softmax based loss function called Additive Margin Softmax (AM-Softmax) is proving to be a better choice than the traditional Softmax. The AM-Softmax introduces a margin of separation between the classes that forces the samples from the same class to be closer to each other and also maximizes the distance between classes. In this paper, we propose a new approach for speaker recognition systems called AM-SincNet, which is based on the SincNet but uses an improved AM-Softmax layer. The proposed method is evaluated in the TIMIT dataset and obtained an improvement of approximately 40% in the Frame Error Rate compared to SincNet

Correlation between serum cystatin C and markers of subclinical atherosclerosis in hypertensive patients

BACKGROUND: Serum cystatin C (s-CC), an endogenous marker of kidney function, has also been proposed as a cardiovascular risk marker. However, it is unknown whether it is a direct marker of atherosclerosis, independently of kidney function. OBJECTIVE: The aim of this study was to correlate s-CC with two surrogate markers of subclinical atherosclerosis. METHODS: This is a cross-sectional study involving 103 middle-aged (57.49 ± 11.7 years) hypertensive outpatients, being 60 female (58.25%), most with preserved kidney function. S-CC was correlated with carotid intima media thickness (IMT) and flow-mediated dilation of brachial artery (FMD), both assessed by ultrasound, as well as with measured creatinine clearance and established cardiovascular risk factors. RESULTS: S-CC was neither significantly correlated with IMT (r = -0.024; p = 0.84) nor with FMD (r = -0.050 and p = 0.687) and no significant association was observed with conventional risk factors and inflammatory markers. In univariate analysis, s-CC was correlated with measured creatinine clearance (r = -0,498; p < 0,001), age (r = 0,408; p < 0,001), microalbuminuria (r = 0,291; p = 0,014), uric acid (r = 0,391; p < 0,001), ratio E/e' (r = 0,242; p = 0,049) and Framingham score (r = 0,359; p = 0,001). However, after multiple regression analysis, only the association with measured creatinine clearance remained significant (r = -0,491; p < 0,001). CONCLUSION: In middle-aged hypertensive outpatients, s-CC correlated with measured creatinine clearance, as expected, but no association was observed with markers of atherosclerosis neither with established cardiovascular risk factors.FUNDAMENTO: A cistatina C sérica (s-CC), um marcador endógeno da função renal, tem sido proposta também como um marcador de risco cardiovascular. No entanto, ainda não está estabelecido se se trata de um marcador direto de aterosclerose, independentemente da função renal. OBJETIVO: O objetivo deste estudo foi correlacionar a s-CC com dois marcadores substitutos de aterosclerose subclínica. MÉTODOS: Trata-se de um estudo transversal envolvendo 103 pacientes hipertensos ambulatoriais, de meia idade (57,49 ± 11,7 anos), sendo 60 do sexo feminino (58,25%) e a maioria com função renal preservada. A s-CC foi correlacionada com a espessura mediointimal carotídea (EMIc) e a dilatação mediada por fluxo de artéria braquial (DMF), ambas avaliadas por ultrassonografia, bem como com o clearance de creatinina medido e fatores de risco cardiovascular estabelecidos. RESULTADOS: A s-CC não se correlacionou significativamente nem com a EMIc (r = -0,024, p = 0,84) nem com a DMF (r = -0,050 e p = 0,687), e não foi observada também associação significativa com fatores de risco convencionais nem marcadores inflamatórios. Na análise univariada, a s-CC se correlacionou com o clearance de creatinina medido (r = - 0,498, p < 0,001), idade (r = 0,408, p < 0,001), microalbuminúria (r = 0,291, p = 0,014), ácido úrico (r = 0,391, p < 0,001), relação E/e' (r = 0,242, p = 0,049) e escore de Framingham (r = 0,359, p = 0,001). No entanto, após análise de regressão múltipla, apenas a associação com o clearance de creatinina medido permaneceu significativa (r = -0,491, p <0,001). CONCLUSÃO: Em pacientes hipertensos ambulatoriais de meia idade, a s-CC se correlacionou com o clearance de creatinina medido,como esperado, mas não foi observada associação com marcadores de aterosclerose nem com fatores de risco cardiovascular estabelecidos.Universidade Federal de São Paulo (UNIFESP)Universidade Federal do MaranhãoUNIFESPSciEL

Correlação entre a cistatina C sérica e marcadores de aterosclerose subclínica em pacientes hipertensos Correlation between serum cystatin C and markers of subclinical atherosclerosis in hypertensive patients

FUNDAMENTO: A cistatina C sérica (s-CC), um marcador endógeno da função renal, tem sido proposta também como um marcador de risco cardiovascular. No entanto, ainda não está estabelecido se se trata de um marcador direto de aterosclerose, independentemente da função renal. OBJETIVO: O objetivo deste estudo foi correlacionar a s-CC com dois marcadores substitutos de aterosclerose subclínica. MÉTODOS: Trata-se de um estudo transversal envolvendo 103 pacientes hipertensos ambulatoriais, de meia idade (57,49 ± 11,7 anos), sendo 60 do sexo feminino (58,25%) e a maioria com função renal preservada. A s-CC foi correlacionada com a espessura mediointimal carotídea (EMIc) e a dilatação mediada por fluxo de artéria braquial (DMF), ambas avaliadas por ultrassonografia, bem como com o clearance de creatinina medido e fatores de risco cardiovascular estabelecidos. RESULTADOS: A s-CC não se correlacionou significativamente nem com a EMIc (r = -0,024, p = 0,84) nem com a DMF (r = -0,050 e p = 0,687), e não foi observada também associação significativa com fatores de risco convencionais nem marcadores inflamatórios. Na análise univariada, a s-CC se correlacionou com o clearance de creatinina medido (r = - 0,498, p < 0,001), idade (r = 0,408, p < 0,001), microalbuminúria (r = 0,291, p = 0,014), ácido úrico (r = 0,391, p < 0,001), relação E/e' (r = 0,242, p = 0,049) e escore de Framingham (r = 0,359, p = 0,001). No entanto, após análise de regressão múltipla, apenas a associação com o clearance de creatinina medido permaneceu significativa (r = -0,491, p <0,001). CONCLUSÃO: Em pacientes hipertensos ambulatoriais de meia idade, a s-CC se correlacionou com o clearance de creatinina medido,como esperado, mas não foi observada associação com marcadores de aterosclerose nem com fatores de risco cardiovascular estabelecidos.<br>BACKGROUND: Serum cystatin C (s-CC), an endogenous marker of kidney function, has also been proposed as a cardiovascular risk marker. However, it is unknown whether it is a direct marker of atherosclerosis, independently of kidney function. OBJECTIVE: The aim of this study was to correlate s-CC with two surrogate markers of subclinical atherosclerosis. METHODS: This is a cross-sectional study involving 103 middle-aged (57.49 ± 11.7 years) hypertensive outpatients, being 60 female (58.25%), most with preserved kidney function. S-CC was correlated with carotid intima media thickness (IMT) and flow-mediated dilation of brachial artery (FMD), both assessed by ultrasound, as well as with measured creatinine clearance and established cardiovascular risk factors. RESULTS: S-CC was neither significantly correlated with IMT (r = -0.024; p = 0.84) nor with FMD (r = -0.050 and p = 0.687) and no significant association was observed with conventional risk factors and inflammatory markers. In univariate analysis, s-CC was correlated with measured creatinine clearance (r = -0,498; p < 0,001), age (r = 0,408; p < 0,001), microalbuminuria (r = 0,291; p = 0,014), uric acid (r = 0,391; p < 0,001), ratio E/e' (r = 0,242; p = 0,049) and Framingham score (r = 0,359; p = 0,001). However, after multiple regression analysis, only the association with measured creatinine clearance remained significant (r = -0,491; p < 0,001). CONCLUSION: In middle-aged hypertensive outpatients, s-CC correlated with measured creatinine clearance, as expected, but no association was observed with markers of atherosclerosis neither with established cardiovascular risk factors

Brazilian Flora 2020: Leveraging the power of a collaborative scientific network

International audienceThe shortage of reliable primary taxonomic data limits the description of biological taxa and the understanding of biodiversity patterns and processes, complicating biogeographical, ecological, and evolutionary studies. This deficit creates a significant taxonomic impediment to biodiversity research and conservation planning. The taxonomic impediment and the biodiversity crisis are widely recognized, highlighting the urgent need for reliable taxonomic data. Over the past decade, numerous countries worldwide have devoted considerable effort to Target 1 of the Global Strategy for Plant Conservation (GSPC), which called for the preparation of a working list of all known plant species by 2010 and an online world Flora by 2020. Brazil is a megadiverse country, home to more of the world's known plant species than any other country. Despite that, Flora Brasiliensis, concluded in 1906, was the last comprehensive treatment of the Brazilian flora. The lack of accurate estimates of the number of species of algae, fungi, and plants occurring in Brazil contributes to the prevailing taxonomic impediment and delays progress towards the GSPC targets. Over the past 12 years, a legion of taxonomists motivated to meet Target 1 of the GSPC, worked together to gather and integrate knowledge on the algal, plant, and fungal diversity of Brazil. Overall, a team of about 980 taxonomists joined efforts in a highly collaborative project that used cybertaxonomy to prepare an updated Flora of Brazil, showing the power of scientific collaboration to reach ambitious goals. This paper presents an overview of the Brazilian Flora 2020 and provides taxonomic and spatial updates on the algae, fungi, and plants found in one of the world's most biodiverse countries. We further identify collection gaps and summarize future goals that extend beyond 2020. Our results show that Brazil is home to 46,975 native species of algae, fungi, and plants, of which 19,669 are endemic to the country. The data compiled to date suggests that the Atlantic Rainforest might be the most diverse Brazilian domain for all plant groups except gymnosperms, which are most diverse in the Amazon. However, scientific knowledge of Brazilian diversity is still unequally distributed, with the Atlantic Rainforest and the Cerrado being the most intensively sampled and studied biomes in the country. In times of “scientific reductionism”, with botanical and mycological sciences suffering pervasive depreciation in recent decades, the first online Flora of Brazil 2020 significantly enhanced the quality and quantity of taxonomic data available for algae, fungi, and plants from Brazil. This project also made all the information freely available online, providing a firm foundation for future research and for the management, conservation, and sustainable use of the Brazilian funga and flora

Núcleos de Ensino da Unesp: artigos 2008

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq