A simple and convenient preparation of multicolor carbon dot (CD) solutions was proposed using neutral red as the carbon and nitrogen sources by a layering and extraction procedure. After poly­(vinylpyrrolidone) (PVP) as the cross-linking agent was doped into as-prepared solutions, red-, orange-, and yellow-emitting CD powders were finally fabricated with solid-state fluorescence quantum (QY) yields of 6.33, 16.5, and 43.6%, respectively. Through studies of surface functional groups and photoluminescence (PL) property compared with solution and powder states of CDs, the cross-linking effect emission (CEE) brought by PVP was confirmed in charge of the high solid-state QY of CD powders. In addition, the conjugate structure of neutral red and increasing hydrophobicity are believed to be responsible for the long-wavelength emission of CD powders. Notably, multicolor imaging of latent fingerprints (LFPs) was successfully achieved on complex background surfaces under 365 nm UV illumination. As a result, these carbon-based phosphors are promising in forensic investigation, bioimaging, and sensing fields.

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The distortions induced by inter-modulations and cross-modulations in concurrent dual-band power amplifiers (PAs) are evidenced and characterized using multi-tone signals. Given the presence of cross-modulations, a comprehensive extended real-valued time-delay neural network (extended-RVTDNN) is proposed to model the nonlinear behavior of concurrent dual-band Pas. Two three-carrier WCDMA signals are applied to a dual-band Doherty PA prototype for modeling verification. The experimental results show that the proposed model approximates the PA with normalized mean square errors (NMSEs) of -38.48dB and -35.42dB in the lower and upper bands, respectively. Compared with the conventional single-band RVTDNN, this new method achieves an improvement in accuracy of more than 10dB.

A novel low cost radiated emissi system by using current probe has been paper. Compared with conventional an measurement method, this new method c cost and save developing time efficient improve the accuracy, a transfer functio for mapping the relationship between method and anechoic chamber method interpolation, the final estimated radiati been validated and agreed well with t results in anechoic chamber.

Background: RNA-binding proteins establish posttranscriptional gene regulation by coordinating the maturation, editing, transport, stability, and translation of cellular RNAs. The immunoprecipitation experiments could identify interaction between RNA and proteins, but they are limited due to the experimental environment and material. Therefore, it is essential to construct computational models to identify the function sites. Objective: Although some computational methods have been proposed to predict RNA binding sites, the accuracy could be further improved. Moreover, it is necessary to construct a dataset with more samples to design a reliable model. Here we present a computational model based on multi-information sources to identify RNA binding sites. Method: We construct an accurate computational model named CSBPI_Site, based on xtreme gradient boosting. The specifically designed 15-dimensional feature vector captures four types of information (chemical shift, chemical bond, chemical properties and position information). Results: The satisfied accuracy of 0.86 and AUC of 0.89 were obtained by leave-one-out cross validation. Meanwhile, the accuracies were slightly different (range from 0.83 to 0.85) among three classifiers algorithm, which showed the novel features are stable and fit to multiple classifiers. These results showed that the proposed method is effective and robust for noncoding RNA binding sites identification. Conclusion: Our method based on multi-information sources is effective to represent the binding sites information among ncRNAs. The satisfied prediction results of Diels-Alder riboz-yme based on CSBPI_Site indicates that our model is valuable to identify the function site.