Speech Emotion Recognition using Deep Convolutional Neural Networks improved by the fast Continuous Wavelet Transform

The fast Continuous Wavelet Transform (fCWT) is used to improve Deep Convolutional Neural Networks (DCNN)’s Speech Emotion Recognition (SER). While being computationally efficient, the fCWT’s time-frequency analysis overcomes traditional methods’ resolution limitations (e.g., Short-Term Fourier Transform). fCWT-induced DCNNs are compared to state-of-the-art DCNN SER systems. Comparing different wavelet parameters, we also provide an empirical strategy for balancing temporal and spectral features in speech signals. We suggest that this strategy is of generic interest for non-stationary signal processing where large amounts of data are available. fCWT’s potential for improving SER accuracy in real-time applications is confirmed. In parallel, the variance in the cross-validation folds confirmed deep learning’s vulnerability on non-big data sets

Molecular mechanisms underlying the MiT translocation subgroup of renal cell carcinomas.

Item does not contain fulltextRenal cell carcinomas (RCCs) represent a heterogeneous group of neoplasms, which differ in histological, pathologic and clinical characteristics. The tumors originate from different locations within the nephron and are accompanied by different recurrent (cyto)genetic anomalies. Recently, a novel subgroup of RCCs has been defined, i.e., the MiT translocation subgroup of RCCs. These tumors originate from the proximal tubule of the nephron, exhibit pleomorphic histological features including clear cell morphologies and papillary structures, and are found predominantly in children and young adults. In addition, these tumors are characterized by the occurrence of recurrent chromosomal translocations, which result in disruption and fusion of either the TFE3 or TFEB genes, both members of the MiT family of basic helix-loop-helix/leucine-zipper transcription factor genes. Hence the name MiT translocation subgroup of RCCs. In this review several features of this RCC subgroup will be discussed, including the molecular mechanisms that may underlie their development

Humulus lupulus L., a very popular beer ingredient and medicinal plant: overview of its phytochemistry, its bioactivity, and its biotechnology

National audienceHumulus lupulus L. (Cannabaceae), commonly named hop, is widely grown around the world for its use in the brewing industry. Its female inflorescences (hops) are particularly prized by brewers because they produce some secondary metabolites that confer bitterness, aromas and antiseptic properties to the beer. These sought-after metabolites include terpenes and sesquiterpenes, found in essential oil, but also prenylated phenolic compounds, mainly acylphloroglucinols (bitter acids) from the series of alpha-acids (humulone derivatives). These metabolites have shown numerous biological activities, including among others, antimicrobial, sedative and estrogenic properties. This review provides an inventory of hop's chemistry, with an emphasis on the secondary metabolites and their biological activities. These compounds of biological interest are essentially produced in female inflorescences, while other parts of the plant only synthetize low quantities of them. Lastly, our article provides an overview of the research in plant biotechnology that could bring alternatives for hops metabolites production