Given that optical thermometers are widely used due to their unique advantages, this study aims to address critical challenges in existing technologies, such as insufficient sensitivity, limited temperature measurement ranges, and poor signal recognition capabilities. Herein, we develop a thermometer based on the fluorescence intensity ratio (FIR) of Sb-doped CsNaInCl (CsNaInCl:Sb). As the temperature increases from 203 to 323 K, the thermally induced transition from triplet to singlet self-trapped excitons (STEs) leads to enhanced 455 nm photoluminescence (PL) from singlet STE recombination.
View Article and Find Full Text PDFMed Biol Eng Comput
October 2023
The key to the analysis of electroencephalogram (EEG) signals lies in the extraction of effective features from the raw EEG signals, which can then be utilized to augment the classification accuracy of motor imagery (MI) applications in brain-computer interface (BCI). It can be argued that the utilization of features from multiple domains can be a more effective approach to feature extraction for MI pattern classification, as it can provide a more comprehensive set of information that the traditional single feature extraction method may not be able to capture. In this paper, a multi-feature fusion algorithm based on uniform manifold approximate and projection (UMAP) is proposed for motor imagery EEG signals.
View Article and Find Full Text PDFBackground: The accumulation of anthocyanin in horticultural crops not only improves their stress tolerances but also their nutritional values. Many key regulatory and structural genes in anthocyanin biosynthesis have been identified in model plants, but limited information is available for non-model plant species featured with colored leaves. In this study, two Pak Choi varieties with green or purple leaves were selected to analyze the anthocyanin biosynthesis through RNA-Seq.
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