Deep learning promotes the breakthrough of emotion recognition in many fields, especially speech emotion recognition (SER).As an important part of speech emotion recognition, the most relevant acoustic feature extraction has always attracted the attention of existing researchers.Aiming at the problem that the emotional information contained in the
Valence-specific modulation in the accumulation of perceptual evidence prior to visual scene recognition.
Visual scene recognition is a dynamic process through which incoming sensory information is iteratively compared with predictions regarding the Face Mist most likely identity of the input stimulus.In this study, we used a novel progressive unfolding task to characterize the accumulation of perceptual evidence prior to scene recognition, and its pot
Development of a quantitative PCR assay for detection of redside shiner (Richardsonius balteatus) from environmental DNA
Abstract Objective A quantitative PCR (qPCR) assay for the detection of Plastic Tumbers redside shiner (Richardsonius balteatus) environmental DNA (eDNA) was designed as a side product of a larger project aimed at using eDNA to determine the presence and geographic extent of native and non-native fishes in the reservoirs and associated tributaries
Doing community-based research during dual public health emergencies (COVID and overdose)
Abstract Meaningful Shaping Bodysuits engagement and partnerships with people who use drugs are essential to conducting research that is relevant and impactful in supporting desired outcomes of drug consumption as well as reducing drug-related harms of overdose and COVID-19.Community-based participatory research is a key strategy for engaging commu