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Dandan Li,Jing Ma,Hengmin Zhu,Mei Sun 제어·로봇·시스템학회 2016 International Journal of Control, Automation, and Vol.14 No.4
In many real-world multi-agent systems, the intrinsic dynamics of the agents are usually dynamic ratherthan static as the environmental uncertainty and the additive exogenous disturbance input. This paper aims atinvestigating the consensus problem of multi-agent systems with uncertainties and randomly occurring nonlinearities(RONs). Consider the robust and lost-cost, an effective impulsive control protocol is designed. Based onthe Lyapunov stability theory and hybrid control theory, sufficient conditions are obtained to ensure consensus ofmulti-agent systems. Furthermore, both mathematical investigations and numerical simulations are presented todemonstrate the effectiveness of the proposed approaches.
Dandan Han,Tao Zhu,노경호 대한화학회 2011 Bulletin of the Korean Chemical Society Vol.32 No.7
An ionic liquid-based ultrasonic-assisted extraction method has been successfully applied to the effective extraction of phenolic compounds from Laminaria japonica Aresch. Three kinds of 1-alkyl-3-methylimidazolium with different cations and anions were evaluated for extraction efficiency. The results showed that both the characteristics of anions and cations have remarkable effects on the extraction efficiency. In addition,the ionic liquid-based ultrasonic-assisted extraction procedure was also optimized on some extraction parameters, such as ultrasonic power, extraction time and solid-liquid ratio. Compared with the conventional solvent, the optimum approach gained the highest extraction efficiency within the shortest extraction time. Average recoveries of phenolic compounds were from 75.5% to 88.3% at three concentration levels.
Zhu Jun,Li Shaolong,Song Dandan,Han Qiaoli,Li guanghua 대한전기학회 2018 Journal of Electrical Engineering & Technology Vol.13 No.4
For the problem that the complexity of 3-D modeling and multi parameter optimization, as well as the uncertainty of the winding factor of axial flux permanent magnet generator with coreless windings. The complex 3-D model was simplified into 2-D analytic model, and an analytical formula for the winding factor that adapting different coreless stator winding is proposed in this paper. The analytical solution for air-gap magnetic fields, no-load back EMF, electromagnetic torque, and efficiency are calculated by using this method. The multiple objective and multivariable optimization of the maximum fundamental and the minimum harmonic content of back EMF are performed by using response surface methodology. The proposed optimum design method was applied to make a generator. The generator was tested and the calculated results are compared with the proposed method, which show good agreements.
A ResNet based multiscale feature extraction for classifying multi-variate medical time series
Junke Zhu,Le Sun,Yilin Wang,Sudha Subramani,Dandan Peng,Shangwe Charmant Nicolas 한국인터넷정보학회 2022 KSII Transactions on Internet and Information Syst Vol.16 No.5
We construct a deep neural network model named ECGResNet. This model can diagnosis diseases based on 12-lead ECG data of eight common cardiovascular diseases with a high accuracy. We chose the 16 Blocks of ResNet50 as the main body of the model and added the Squeeze-and-Excitation module to learn the data information between channels adaptively. We modified the first convolutional layer of ResNet50 which has a convolutional kernel of 7 to a superposition of convolutional kernels of 8 and 16 as our feature extraction method. This way allows the model to focus on the overall trend of the ECG signal while also noticing subtle changes. The model further improves the accuracy of cardiovascular and cerebrovascular disease classification by using a fully connected layer that integrates factors such as gender and age. The ECGResNet model adds Dropout layers to both the residual block and SE module of ResNet50, further avoiding the phenomenon of model overfitting. The model was eventually trained using a five-fold cross-validation and Flooding training method, with an accuracy of 95% on the test set and an F1-score of 0.841.We design a new deep neural network, innovate a multi-scale feature extraction method, and apply the SE module to extract features of ECG data.
Wang, Dandan,Zhao, Gong-Bo,Wang, Yuting,Percival, Will J,Ruggeri, Rossana,Zhu, Fangzhou,Tojeiro, Rita,Myers, Adam D,Chuang, Chia-Hsun,Baumgarten, Falk,Zhao, Cheng,Gil-Marí,n, Hé,ctor,Ross, Oxford University Press 2018 MONTHLY NOTICES- ROYAL ASTRONOMICAL SOCIETY Vol.477 No.2
<B>Abstract</B><P>We present a measurement of the anisotropic and isotropic Baryon Acoustic Oscillations (BAO) from the extended Baryon Oscillation Spectroscopic Survey Data Release 14 quasar sample with optimal redshift weights. Applying the redshift weights improves the constraint on the BAO dilation parameter α(zeff) by 17 per cent. We reconstruct the evolution history of the BAO distance indicators in the redshift range of 0.8 < z < 2.2. This paper is part of a set that analyses the eBOSS DR14 quasar sample.</P>
Han, Dandan,Zhu, Tao,Row, Kyung-Ho Korean Chemical Society 2011 Bulletin of the Korean Chemical Society Vol.32 No.7
An ionic liquid-based ultrasonic-assisted extraction method has been successfully applied to the effective extraction of phenolic compounds from Laminaria japonica Aresch. Three kinds of 1-alkyl-3-methyl-imidazolium with different cations and anions were evaluated for extraction efficiency. The results showed that both the characteristics of anions and cations have remarkable effects on the extraction efficiency. In addition, the ionic liquid-based ultrasonic-assisted extraction procedure was also optimized on some extraction parameters, such as ultrasonic power, extraction time and solid-liquid ratio. Compared with the conventional solvent, the optimum approach gained the highest extraction efficiency within the shortest extraction time. Average recoveries of phenolic compounds were from 75.5% to 88.3% at three concentration levels.
MiR-494-3p Upregulation Exacerbates Cerebral Ischemia Injury by Targeting Bhlhe40
Lingjiang Sun,Dandan Ji,Feng Zhi,Yu Fang,Zigang Zhu,Tong Ni,Qin Zhu,Jie Bao 연세대학교의과대학 2022 Yonsei medical journal Vol.63 No.4
Purpose: Cerebral ischemia is related to insufficient blood supply and is characterized by abnormal reactive oxygen species(ROS) production and cell apoptosis. Previous studies have revealed a key role for basic helix-loop-helix family member e40 (Bhlhe40)in oxidative stress and cell apoptosis. This study aimed to investigate the roles of miR-494-3p in cerebral ischemia/reperfusion(I/R) injury. Materials and Methods: A mouse middle cerebral artery occlusion (MCAO/R) model was established to mimic cerebral ischemiain vivo. Brain infarct area was assessed using triphenyl tetrazolium chloride staining. Oxygen-glucose deprivation/reoxygenation(OGD/R) operation was adopted to mimic neuronal injury in vitro. Cell apoptosis was analyzed by flow cytometry. Therelationship between miR-494-3p and Bhlhe40 was validated by luciferase reporter and RNA immunoprecipitation assays. Results: Bhlhe40 expression was downregulated both in MCAO/R animal models and OGD/R-induced SH-SY5Y cells. Bhlhe40overexpression inhibited cell apoptosis and reduced ROS production in SH-SY5Y cells after OGD/R treatment. MiR-494-3p wasverified to bind to Bhlhe40 and negatively regulate Bhlhe40 expression. Additionally, cell apoptosis and ROS production in OGD/R-treated SH-SY5Y cells were accelerated by miR-494-3p overexpression. Rescue experiments suggested that Bhlhe40 could reversethe effects of miR-494-3p overexpression on ROS production and cell apoptosis. Conclusion: MiR-494-3p exacerbates brain injury and neuronal injury by regulating Bhlhe40 after I/R.
Yuan Donglan,Zhu Dandan,Yin Boyu,Ge Hongshan,Zhao Yinling,Huang Aihua,Wang Xiaosu,Cao Xiuhong,Xia Nan,Qian Hua 한국유전학회 2022 Genes & Genomics Vol.44 No.5
Background: Endometriosis (EM) is a gynecological disease that poses severe health risks to women, although its pathogenesis has yet to be fully elucidated. It has been shown that long non-coding RNAs (lncRNAs) are closely associated with EM initiation and have a role in the development of this disease. Previous studies exploring the expression of the lncRNA nuclear paraspeckle assembly transcript 1 (NEAT1) have shown that this lncRNA functions as a tumor promoter in endometrial cancer. However, its exact mechanism of action in EM remains unclear. Objective: This report was designed to illustrate the potential molecular mechanisms of lncRNA NEAT1 on EM. Methods: Endometrial tissues were extracted from EM model rats and patients with EM. Hematoxylin and eosin staining was applied to detect the morphological changes that occurred in rats after construction of the model. Endometrial stromal cells (ESCs) were extracted from either ectopic endometrium (EC) or eutopic endometrium (EU) tissues from patients with EM. LncRNA NEAT1 and miR-124-3p expression in EM tissues and cells were subsequently evaluated by reverse transcription-quantitative (RT-q)PCR analysis. MTT assay, flow cytometric analysis, western blot assay and Transwell assay were then employed to examine the effect of NEAT1 and miR-124-3p on EC-ESC proliferation, apoptosis, migration and invasion, respectively. The targeted relationship between lncRNA NEAT1 and miR-124-3p was subsequently confirmed by dual-luciferase and co-transfection assays. Results: MiR-124-3p was identified as a target of NEAT1, and could be negatively regulated by NEAT1 in EC-ESCs. The expression level of NEAT1 was evidently increased, whereas that of miR-124-3p was decreased, in the EM in vivo model, EM tissues and EC-ESCs from patients with EM. The loss-of-function assays further established that silencing of NEAT1 could inhibit EC-ESC proliferation, migration, and invasion, but it led to the promotion of apoptosis via targeting miR-124-3p. Conclusions: NEAT1 is significantly upregulated in EM, promoting malignant behavior in EM through targeting miR-124-3p expression.