Identification and Characterization of EDT1 Conferring Drought Tolerance in Rice

Tao Wu,Mingxing Zhang,Hongjia Zhang,Kai Huang,Mojun Chen,Chen Chen,Xue Yang,Zhao Li,Haoyuan Chen,Zhiming Ma,Xunming Zhang,Wenzhu Jiang,Xinglin Du 한국식물학회 2019 Journal of Plant Biology Vol.62 No.1

Basic Leucine Zipper (bZIP) transcription factors(TFs) play important roles in many processes, especially inabiotic stress response in plants. In this study, we characterizeda new gene EHANCED DROUGHT TOLERANCE 1 (EDT1),member of group E of bZIP transcription factor family inrice. The EDT1 protein contains one bZIP domain, oneputative nuclear localization signal (NLS) and six conservedphosphorylation sites. The expression of EDT1 is suppressedby several abiotic stresses, such as cold, droutht, and salt. Corresponding with expression patterns, several stress-associatedcis-acting elements were found in the EDT1 promoter. Theresults of subcellular localization and transactivation abilityanalyses indicated that EDT1 was localized in the nucleusand functioned as a nuclear protein, with its transactivationactivity primarily located in N-terminal. Transgenic riceoverexpressing EDT1 showed drought tolerance that hasbeen significantly improved. Real-time PCR analysis revealedthat some stress-related genes, such as OsbZIP12, SNAC1,OsLEA3, OsbZIP16, OsbZIP10 and OsABI2 were up-regulatedin EDT1 overexpression lines. These results indicate thatEDT1 plays a positive role in drought tolerance and providesvaluable targets for breeding drought-tolerant rice cultivars.

Preparation of CdSe QDs-carbohydrate Conjugation and its Application for HepG2 Cells Labeling

Mingxing Jiang,Yan Chen,Guiqing Kai,Ruijun Wang,Huali Cui,Meili Hu 대한화학회 2012 Bulletin of the Korean Chemical Society Vol.33 No.2

In present study, CdSe quantum dots (QDs) were prepared with a novel but simple, effective and exercisable method. Nine different types of carbohydrate molecules were used to modify CdSe QDs. D-mannose (Man)-coated quantum dots were prepared for labeling human hepatoma (HepG2) cells, because of the high expression of mannose receptor (MR) on HepG2 cells. The uptake characteristics of CdSe QDs-Man were investigated in HepG2 cells. The absorption rate result of MTT assay in 48 h suggested the extremely low cytotoxicity of CdSe QDs-Man. The presence of quantum dots was confirmed with fluorescence microscopy. These results were encouraging regarding the application of QDs molecules for early detection of HepG2 cells.

Block Compressed Sensing of Self-adaptive Measurement and Combinatorial Optimization

Li Mingxing,Chen Xiuxin,Su Weijun,Yu Chongchong 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.5

The block compressed sensing has brought forth the problem that the reconstructed image is of lower quality compared with that of the compressed sensing. A new method is proposed in this paper, named as Block Compressed Sensing of Self-adaptive Measurement and Combinatorial Optimization, which capably solves the problem. According to different sparsity of each image block, we firstly measure the blocks by using different projections; then, we choose measurement with the optimal reconstruction as the final measurement. Eventually, reconstruct the original image using the optimal measurement we got. The proposed method outperforms the compressed sensing in terms of real-time and better reconstruction quality is achieved than the block compressed sensing. Our experimental results verify the superiority of the proposed method.

Preparation of CdSe QDs-carbohydrate Conjugation and its Application for HepG2 Cells Labeling

Jiang, Mingxing,Chen, Yan,Kai, Guiqing,Wang, Ruijun,Cui, Huali,Hu, Meili Korean Chemical Society 2012 Bulletin of the Korean Chemical Society Vol.33 No.2

In present study, CdSe quantum dots (QDs) were prepared with a novel but simple, effective and exercisable method. Nine different types of carbohydrate molecules were used to modify CdSe QDs. D-mannose (Man)-coated quantum dots were prepared for labeling human hepatoma (HepG2) cells, because of the high expression of mannose receptor (MR) on HepG2 cells. The uptake characteristics of CdSe QDs-Man were investigated in HepG2 cells. The absorption rate result of MTT assay in 48 h suggested the extremely low cytotoxicity of CdSe QDs-Man. The presence of quantum dots was confirmed with fluorescence microscopy. These results were encouraging regarding the application of QDs molecules for early detection of HepG2 cells.

A New Model-free Robust Adaptive Control of Cable-driven Robots

Yaoyao Wang,Lufang Liu,Mingxing Yuan,Qingxun Di,Bai Chen,Hongtao Wu 제어·로봇·시스템학회 2021 International Journal of Control, Automation, and Vol.19 No.9

For high performance control of cable-driven robots, a new model-free robust adaptive control is proposed using adaptive proportional-integral-derivative nonsingular fast terminal sliding mode (PID-NFTSM) in this paper. The designed control scheme has three elements, which are time-delay estimation (TDE) and a new PIDNFTSM manifold and a combined adaptive reaching law. The TDE element is applied to achieve the lumped system dynamics and hence founds a practical model-free structure. Meanwhile, a new PID-NFTSM manifold is designed to inherit the advantages of the NFTSM and high-order SM (HOSM) and integral SM (ISM) controls. Because of this design, the PID-NFTSM manifold can effectively ensure the non-singularity and high comprehensive control performance. Then, by combining the fast-TSM-type reaching law and a constant speed one with adaptive gain, we design a new combined adaptive reaching law for performance reinforcement. Benefiting from above three parts, our proposed control is model-free, highly precise and strongly robust. Stability is analyzed using Lyapunov theory. The effectiveness of our control is proved by comparative simulation studies. For high performance control of cable-driven robots, a new model-free robust adaptive control is proposed using adaptive proportional-integral-derivative nonsingular fast terminal sliding mode (PID-NFTSM) in this paper. The designed control scheme has three elements, which are time-delay estimation (TDE) and a new PIDNFTSM manifold and a combined adaptive reaching law. The TDE element is applied to achieve the lumped system dynamics and hence founds a practical model-free structure. Meanwhile, a new PID-NFTSM manifold is designed to inherit the advantages of the NFTSM and high-order SM (HOSM) and integral SM (ISM) controls. Because of this design, the PID-NFTSM manifold can effectively ensure the non-singularity and high comprehensive control performance. Then, by combining the fast-TSM-type reaching law and a constant speed one with adaptive gain, we design a new combined adaptive reaching law for performance reinforcement. Benefiting from above three parts, our proposed control is model-free, highly precise and strongly robust. Stability is analyzed using Lyapunov theory. The effectiveness of our control is proved by comparative simulation studies.

A Novel Quality Evaluation Index and Strategies to Identify Scenting Quality of Jasmine Tea Based on Headspace Volatiles Analysis

Jie Lin,Ying Chen,Pan Zhang,Mingxing Ren,Hairong Xu,Xiaochang Wang 한국식품과학회 2013 Food Science and Biotechnology Vol.22 No.2

Jasmine tea is quite popular in daily consumption and beverage industry, and scenting quality and synthetic artificial oil are crucial issues of its quality control. The headspace volatile profiles of jasmine tea samples were analyzed by headspace-solid phase microextraction (HSSPME)coupled with GC-MS. Twenty-nine volatile compounds were determined as ‘common components’ that should exist in jasmine scented teas. Potential correlation was discovered between quality grade of jasmine tea and the ratio of peak area percentage of α-farnesene, (Z)-3-hexenyl benzoate, methyl anthranilate, and indole to that of linalool. This ratio was denoted as ‘jasmine tea flavor’ (JIF) index,a novel index for quality evaluation of jasmine tea. JTF index and common components could provide a good identification of well-scented, poor-scented, and not-scented jasmine teas. Moreover, carrier compounds might be a clear evidence for identifying fake jasmine teas that were added with synthetic fragrance oil.

Research on Lyapunov-based Predictive Path Following Control of AGV Based on Time Constraint

Shaobo Zhang,Qinxiang Xia,Gangfeng Xiao,Sizhu Cheng,Mingxing Chen 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.12

Automated Guided Vehicles (AGV) usually takes on the responsibility of material transmission in industrial applications with a wireless computer-controlled differential driving. A Lyapunov-based model predictive control method is proposed for the AGV path following problem with considering the time constraint. The time constraint problem of path following is introduced for industrial scheduling fields, and the reference path is discretized and virtually constructed by the quadratic programming method based on the double integrator technique. The stabilization point control theorem is migrated to solve the path following control, and adopted to track the generated discretized setting reference path points by using the model predictive control method. The predictive following control method is constrained by the Lyapunov function, which ensures the stability of the control of AGV motion. The controller is constrained by Lyapunov stability criteria to demonstrate the local and global convergence of the control system. The comparative results of numerical simulation experiments show that the proven method is effective with better smoothness and stability.

Prediction Model for unfavorable Outcome in Spontaneous Intracerebral Hemorrhage Based on Machine Learning

Shengli Li,Jianan Zhang,Xiaoqun Hou,Yongyi Wang,Tong Li,Zhiming Xu,Feng Chen,Yong Zhou,Weimin Wang,Mingxing Liu 대한신경외과학회 2024 Journal of Korean neurosurgical society Vol.67 No.1

Objective : The spontaneous intracerebral hemorrhage (ICH) remains a significant cause of mortality and morbidity throughout the world. The purpose of this retrospective study is to develop multiple models for predicting ICH outcomes using machine learning (ML). Methods : Between January 2014 and October 2021, we included ICH patients identified by computed tomography or magnetic resonance imaging and treated with surgery. At the 6-month check-up, outcomes were assessed using the modified Rankin Scale. In this study, four ML models, including Support Vector Machine (SVM), Decision Tree C5.0, Artificial Neural Network, Logistic Regression were used to build ICH prediction models. In order to evaluate the reliability and the ML models, we calculated the area under the receiver operating characteristic curve (AUC), specificity, sensitivity, accuracy, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR). Results : We identified 71 patients who had favorable outcomes and 156 who had unfavorable outcomes. The results showed that the SVM model achieved the best comprehensive prediction efficiency. For the SVM model, the AUC, accuracy, specificity, sensitivity, PLR, NLR, and DOR were 0.91, 0.92, 0.92, 0.93, 11.63, 0.076, and 153.03, respectively. For the SVM model, we found the importance value of time to operating room (TOR) was higher significantly than other variables. Conclusion : The analysis of clinical reliability showed that the SVM model achieved the best comprehensive prediction efficiency and the importance value of TOR was higher significantly than other variables.