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2篇 您的检索式:作者名="D.Anuradha"
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1A novel convolutional neural network with gated recurrent unit for automated speech emotion recognition and classification显示文摘Automated Speech Emotion Recognition (SER) becomes more popular and has increased applicability.SER concentrates on the automatic identification of the emotional state of a humanbeing using speech signals. It mainly depends upon the in-depth analysis of the speech signal,extracts features containing emotional details from the speech signal, and utilises patternrecognition techniques for emotional state identification. The major problem in automatic SERis to extract discriminate, powerful, and emotional salient features from the acoustical content ofspeech signals. The proposed model aims to detect and classify three emotional states of speechsuch as happy, neutral, and sad. The presented model makes use of Convolution neural network– Gated Recurrent unit (CNN-GRU) based feature extraction technique which derives a set offeature vectors. A comprehensive simulation takes place using the Berlin German Database andSJTU Chinese Database which comprises numerous audio files under a collection of differentemotion labels.P.Ravi Prakash D.Anuradha Javid Iqbal Mohammad Gouse Galety Ruby Singh S.Neelakandan 2023Journal of Control and Decision2023,10,1:1
2Purification and characterization of rat testicular glutathione S-transferases:role in the synthesis of eicosanoids显示文摘Aim: Purification of glutathione S-transferases (GSTs) from rat testis; separation and identification of various subunits and their role in eicosanoid biosynthesis. Methods: Purification of rat testicular GSTs by affinity chromatography, employing S-hexylglutathione-linked epoxy-activated Sepharose 6B column and separation of individual subunits by reverse phase-high pressure liquid chromatography (RP-HPLC). Characterization of affinity purified GSTs by Sodium dodecyl sulfate-polyacrylamide gel electlophoresis (SDS-PAGE) and Western blot analysis. The role of testicular GSTs in eicosanoid biosynthesis was determined by incubating GSTs with 5,6-Leukotriene A4Me (LTA4Me) and prostaglandin H2(PGH2) and analyzing the products formed on HPLC/TLC. Results: The present study reveals that majority of rat testicular GSTs are of Yb size (60%) with molecular weight of 27kDa. The most predominant subunits, however, are GST Yn2(27%), followed by GST Yc(24%) and GST Ynl(20%). These testicular GSTs showed very high Leukotriene C4(LTC4) synthase activity with 5,6-Leukotriene A4Me(LTA4Me) as the substrate and prostaglandin D (PGD) synthase activity with prostaglandin H2(PGH2) as the substrate. Conclusion: Majority of rat testicular GSTs are Yb sized and are involved in the synthesis of eicosanoids like LTC4 and PGD2.(Asian J Androl 2000 Dec;2:277-282)D.Anuradha K.VeeraReddy T.CharlesKumar S.Neeraja P.R.K.Reddy P.Reddanna 2000Asian Journal of Andrology2000,2,4:1
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