Using Principal Paths to Walk Through Music and Visual Art Style Spaces Induced by Convolutional Neural Networks

AbstractComputational intelligence, particularly deep learning, offers powerful tools for discriminating and generating samples such as images. Deep learning methods have been used in different artistic contexts for neural style transfer, artistic style recognition, and musical genre recognition. Using a constrained manifold analysis protocol, we discuss to what extent spaces induced by deep-learning convolutional neural networks can capture historical/stylistic progressions in music and visual art. We use a path-finding algorithm, called principal path, to move from one point to another. We apply it to the vector space induced by convolutional neural networks. We perform experiments with visual artworks and songs, considering a subset of classes. Within this simplified scenario, we recover a reasonable historical/stylistic progression in several cases. We use the principal path algorithm to conduct an evolutionary analysis of vector spaces induced by convolutional neural networks. We perform several experiments in the visual art and music spaces. The principal path algorithm finds reasonable connections between visual artworks and songs from different styles/genres with respect to the historical evolution when a subset of classes is considered. This approach could be used in many areas to extract evolutionary information from an arbitrary high-dimensional space and deliver interesting cognitive insights

Incorporating alpha-fetoprotein within dimensional criteria for hepatocellular carcinoma transplantation

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Acute oxaliplatin-induced thrombotic thrombocytopenic purpura: A case report and results from a cytoflourimetric assay of platelet fibrinogen receptor

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Sorafenib and Regorafenib in HBV- or HCV-positive hepatocellular carcinoma patients: Analysis of RESORCE and SHARP trials

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Avaliação do risco de transtornos alimentares em praticantes da dieta vegetariana / Evaluation of the risk of food disorders in vegetarian diet practice

Introdução: Transtornos alimentares tem etiologia multifatorial e são caracterizados pela atitude alimentar comprometida, levando o indivíduo a praticar dietas restritivas severas ou criar aversões alimentares. O CRN-3 esclarece que indivíduos com distúrbios alimentares estão propensos a adotar dietas restritivas, tal qual a vegetariana. Objetivo: Avaliar a incidência de características de transtornos alimentares em indivíduos que adotaram a dieta vegetariana. Metodologia: Estudo transversal com aplicação de questionário online, contando com perguntas de informações pessoais e os instrumentos BSQ-34 e EAT-26. Resultados: A amostra foi constituída por 93 participantes, sendo 91,4% do gênero feminino e 8,6% masculino. A análise da pontuação demonstrou que 25,81% (n=24) da amostra ficou acima da faixa de corte no BSQ-34 e 29,03% (n=27) no EAT-26. Apesar de 61,29% (n=57) da amostra estar eutrófica, 43,01% (n=40) pontuou a questão do EAT-26 referente a ter medo de engordar. Estudos afirmam que a dieta vegetariana pode mascarar padrões de dietas restritivas, com o objetivo de manter um baixo peso corporal ou perder peso. Conclusão: Uma parcela significante da amostra apresentou características que indicam riscos para transtornos alimentares em ambos os questionários aplicados. São necessários mais estudos acerca do tema, uma vez que a adoção dessa restrição alimentar está associada na literatura com comportamentos de distúrbios alimentares, como preocupação com peso e auto-imagem

mTOR Pathway Expression as Potential Predictive Biomarker in Patients with Advanced Neuroendocrine Tumors Treated with Everolimus

Background: Everolimus (Eve), which is a mammalian target of Rapamicin (mTOR) inhibitor, is part of the therapeutic armamentarium of neuroendocrine tumors (NETs). Currently, there are no validated biomarkers predicting Eve efficacy in NETs. In this study, we explore whether the expression of phosphorilated (p)-mTOR and p70S6-kinase (S6K), a downstream effector of mTOR, correlates with the outcome of patients with NET that were treated with Eve. Methods: Tissue specimens that were derived from NETs treated with Eve at our Institution were examined for the expression levels of p-mTOR and p-S6K by immunohistochemistry. Response rate (RR), progression-free survival (PFS), and overall survival (OS) were analyzed in two groups: p-mTOR/p-S6K positive (group 1) and p-mTOR/p-S6K negative (group 2). Univariate and multivariate Cox regression analysis were performed. Results: Twenty-four patients with advanced NETs that were treated with Eve were included in the analysis. Eight out 24 (33.3%) patients were both p-mTOR and p-S6K positive. A better median PFS and OS in group 1 (18.2 and 39.9 months) as compared to group 2 (13 and 32.4 months) was depicted, with a toxicity profile that was comparable with data literature. Conclusions: Our study suggests that the activation of mTOR pathway can predict better outcomes in patients with NET treated with Eve. However, these results warrant further confirmation in a prospective setting

Atypical presentations of thrombotic thrombocytopenic purpura in middle-aged women with recurrent cerebral macrovascular thrombosis: a case report

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