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        Application of an Optimized Support Vector Regression Algorithm in Short-Term Traffic Flow Prediction

        Ruibo Ai,Cheng Li,Na Li 한국정보처리학회 2022 Journal of information processing systems Vol.18 No.6

        The prediction of short-term traffic flow is the theoretical basis of intelligent transportation as well as the keytechnology in traffic flow induction systems. The research on short-term traffic flow prediction has showed theconsiderable social value. At present, the support vector regression (SVR) intelligent prediction model that issuitable for small samples has been applied in this domain. Aiming at parameter selection difficulty andprediction accuracy improvement, the artificial bee colony (ABC) is adopted in optimizing SVR parameters,which is referred to as the ABC-SVR algorithm in the paper. The simulation experiments are carried out bycomparing the ABC-SVR algorithm with SVR algorithm, and the feasibility of the proposed ABC-SVRalgorithm is verified by result analysis. Continuously, the simulation experiments are carried out by comparingthe ABC-SVR algorithm with particle swarm optimization SVR (PSO-SVR) algorithm and genetic optimizationSVR (GA-SVR) algorithm, and a better optimization effect has been attained by simulation experimentsand verified by statistical test. Simultaneously, the simulation experiments are carried out by comparing theABC-SVR algorithm and wavelet neural network time series (WNN-TS) algorithm, and the prediction accuracyof the proposed ABC-SVR algorithm is improved and satisfactory prediction effects have been obtained.

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        A transcription factor TaTCP20 regulates the expression of Ppd-D1b in common wheat

        Wei Fan,Song Tianqi,Zhou Jianfei,Cheng Jie,Li Ruibo,Yu Ming,Zhang Yunrui,Yu-Yang Song,Zhang Bo,Zhang Xiaoke 한국식물생명공학회 2021 Plant biotechnology reports Vol.15 No.3

        Photoperiod (Ppd) genes play an important role in the adaptation of wheat to the ecological environment. However, the transcriptional regulation mechanism of photoperiodic genes has remained elusive. This study isolated a full-length promoter of Ppd-D1b (2518 bp) from the common wheat genome. Several essential core cis-acting elements and numerous light-responsive cis-acting regulatory elements were identifed in Ppd-D1b promoter by the in-silico analysis. Ten 5’-deleted length fragments of the Ppd-D1b promoter fused with GUS were constructed and named D0 ~D9, then transferred them into Arabidopsis thaliana. GUS gene driven by full-length (D0) in transgenic Arabidopsis thaliana showed the same rhythm with Ppd-D1b in wheat under short-day conditions (SDs, 8-h light/16-h dark). The expression of GUS gene in D0 reached its peak at 3 h after dawn, then decreased to the lowest and remained stable. Analysis of the series of 5’-deleted fragments showed that at 3 h after dawn, GUS gene expression activity decreased signifcantly in D7a due to removal of CHEBS (CCA1 HIKING EXPEDITION binding site). Moreover, yeast one-hybrid (Y1H) and dual-luciferase (dual-LUC) assays revealed that TaTCP20 could bind to the Ppd-D1b promoter to increase its transcriptional activity. This study revealed a transcription factor, TaTCP20, which activated Ppd-D1b by binding to CHEBS, provided a foundation for the theoretical research on wheat’s photoperiodic response mechanism.

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