Effects of IBA on rooting ability of Cinnamomum bodinieri citral type micro-shoots from transcriptomics analysis

Xiao Zufei,Jin Zhinong,Zhang Beihong,Li Feng,Yu Faxin,Zhang Haiyan,Lü Xiongwei,Zhang Jie 한국식물생명공학회 2020 Plant biotechnology reports Vol.14 No.4

Cinnamomum bodinieri is a useful plant that could be improved by increasing its cultivation rate. To explore the optimal concentration of exogenously applied IBA for root formation and development in the C. bodinieri citral type, micro-shoots and the fresh tissues of their bases were subjected to morphological and transcriptome analyses, respectively. When plantedQuery on a rooting medium (1/2 MS) with 1.5 mg/L IBA for 25 days, the rooting rates and root numbers were significantly higher than those obtained with 0, 0.5, 1.0, or 2.0 mg/L IBA treatment. Transcriptome analyses conducted 0 day, 7 days, 11 days, and 14 days after planting in the optimal rooting medium demonstrated that the IBA modified the plant’s carbohydrate metabolism and auxin signaling pathway. The root-specific expressions of TIR1, GH3, and SAUR were up-expressed while AUX/IAA was repressed, which contributed to the formation of lateral root initiation sites and root cell elongation. At the same time, d-glucose synthesis increased and the accumulation of starch decreased as more carbohydrates were used to form and develop roots instead of being used for the rapid cell division required for shoot growth. This study identified the optimal rooting medium for the C. bodinieri citral type and determined the molecular mechanisms involved in the regulation of exogenously applied IBA during root formation and development at the transcriptional level.

Recovery of Lost Speech Segments Using Incremental Subspace Learning

Jianjun Huang,Xiongwei Zhang,Yafei Zhang 한국전자통신연구원 2012 ETRI Journal Vol.34 No.4

An incremental subspace learning scheme to recover lost speech segments online is presented. Our contributions in this work are twofold. First, the recovery problem is transformed into an interpolation problem of the time-varying gains via nonnegative matrix factorization. Second, incremental nonnegative matrix factorization is employed to allow online processing and track the evolution of speech statistics. The effectiveness of the proposed scheme is confirmed by the experiment results.

Speech Denoising via Low-Rank and Sparse Matrix Decomposition

Jianjun Huang,Xiongwei Zhang,Yafei Zhang,Xia Zou,Li Zeng 한국전자통신연구원 2014 ETRI Journal Vol.36 No.1

In this letter, we propose an unsupervised framework forspeech noise reduction based on the recent development oflow-rank and sparse matrix decomposition. The proposedframework directly separates the speech signal from noisyspeech by decomposing the noisy speech spectrogram intothree submatrices: the noise structure matrix, the clean speechstructure matrix, and the residual noise matrix. Evaluations onthe Noisex-92 dataset show that the proposed method achievesa signal-to-distortion ratio approximately 2.48 dB and 3.23 dBhigher than that of the robust principal component analysismethod and the non-negative matrix factorization method,respectively, when the input SNR is –5 dB.

Robust Non-negative Matrix Factorization with β-Divergence for Speech Separation

Yinan Li,Xiongwei Zhang,Meng Sun 한국전자통신연구원 2017 ETRI Journal Vol.39 No.1

This paper addresses the problem of unsupervised speech separation based on robust non-negative matrix factorization (RNMF) with β-divergence, when neither speech nor noise training data is available beforehand. We propose a robust version of non-negative matrix factorization, inspired by the recently developed sparse and low-rank decomposition, in which the data matrix is decomposed into the sum of a low-rank matrix and a sparse matrix. Efficient multiplicative update rules to minimize the β-divergence-based cost function are derived. A convolutional extension of the proposed algorithm is also proposed, which considers the time dependency of the non-negative noise bases. Experimental speech separation results show that the proposed convolutional RNMF successfully separates the repeating time-varying spectral structures from the magnitude spectrum of the mixture, and does so without any prior training.

Spatial correlation of aerodynamic forces on 5:1 rectangular cylinder in different VIV stages

Yongfu Lei,Yanguo Sun,Tianyi Zhang,Xiongwei Yang,Ming-shui Li 한국풍공학회 2022 Wind and Structures, An International Journal (WAS Vol.34 No.1

To better understand the vortex-induced vibration (VIV) characteristics of a 5:1 rectangular cylinder, the distribution of aerodynamic force and the non-dimensional power spectral density (PSD) of fluctuating pressure on the side surface were studied in different VIV development stages, and their differences in the stationary state and vibration stages were analyzed. The spanwise and streamwise correlations of surface pressures were studied, and the flow field structure partitions on the side surface were defined based on the streamwise correlation analysis. The results show that the variation tendencies of mean and root mean square (RMS) pressure coefficients are similar in different VIV development stages. The RMS values during amplitude growth are larger than those at peak amplitude, and the smallest RMS values are observed in the stationary state. The spanwise correlation coefficients of aerodynamic lifts increase with increase of the peak amplitude. However, for the lock-in region, the maximum spanwise correlation coefficient for aerodynamic lifts occurs in the VIV rising stage rather than in the peak amplitude stage, probably due to the interaction of vortex shedding force (VSF) and self-excited force (SEF). The streamwise correlation results show that the demarcation point positions between the recirculation region and the main vortex region remain almost constant in different VIV development stages, and the reattachment points gradually move to the tailing edge with increasing amplitude. This study provides a reference to estimate the demarcation point and reattachment point positions through streamwise correlation and phase angle analysis from wind tunnel tests.

An Embedded Software Power Consumption Model based on Software Architecture and Support Vector Machine Regression

Xiong Wei,Xiaobin Liu,Bing Guo,Shen Yan,Wenli Zhang 보안공학연구지원센터 2016 International Journal of Smart Home Vol.10 No.3

As embedded devices prevail in daily life, high energy consumption caused by embedded software caught academic attentions. Multifarious testing and predicting methods are developed accordingly. This paper proposes a model about energy consumption of embedded device based on analysis of embedded software structure and support vector machine regression. The nonlinear relationship between energy consumption and software structure is revealed. The research finds software structure is determined by features like number of components, complexity of component interface, component coupling, and path length. These features are qualified and modeled by using support vector machine regression and energy consumption is predicted based on this model. The experiments results confirm the proposed model.

Parecoxib: an Enhancer of Radiation Therapy for Colorectal Cancer

Xiong, Wei,Li, Wen-Hui,Jiang, Yong-Xin,Liu, Shan,Ai, Yi-Qin,Liu, Rong,Chang, Li,Zhang, Ming,Wang, Xiao-Li,Bai, Han,Wang, Hong,Zheng, Rui,Tan, Jing Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.2

Background: To study the effect of parecoxib, a novel cyclooxygenase-2 selective inhibitor, on the radiation response of colorectal cancer (CRC) cells and its underlying mechanisms. Materials and Methods: Both in vitro colony formation and apoptosis assays as well as in vivo mouse xenograft experiments were used to explore the radiosensitizing effects of parecoxib in human HCT116 and HT29 CRC cells. Results: Parecoxib sensitized CRC cells to radiation in vitro with a sensitivity enhancement ratio of 1.32 for HCT116 cells and 1.15 for HT29 cells at a surviving fraction of 0.37. This effect was partially attributable to enhanced apoptosis induction by parecoxib combined with radiation, as illustrated using an in vitro apoptosis assays. Parecoxib augmented the tumor response of HCT116 xenografts to radiation, achieving growth delay more than 20 days and an enhancement factor of 1.53. In accordance with the in vitro results, parecoxib combined with radiation resulted in less proliferation and more apoptosis in tumors than radiation alone. Radiation monotherapy decreased microvessel density (MVD) and microvessel intensity (MVI), but increased the hypoxia level in xenografts. Parecoxib did not affect MVD, but it increased MVI and attenuated hypoxia. Conclusions: Parecoxib can effectively enhance radiation sensitivity in CRC cells through direct effects on tumor cells and indirect effects on tumor vasculature.