Fast-convergence trilinear decomposition algorithm for angle and range estimation in FDA-MIMO radar

Wang, Cheng,Zheng, Wang,Li, Jianfeng,Gong, Pan,Li, Zheng Electronics and Telecommunications Research Instit 2021 ETRI Journal Vol.43 No.1

A frequency diverse array (FDA) multiple-input multiple-output (MIMO) radar employs a small frequency increment across transmit elements to produce an angle-range-dependent beampattern for target angle and range detection. The joint angle and range estimation problem is a trilinear model. The traditional trilinear alternating least square (TALS) algorithm involves high computational load due to excessive iterations. We propose a fast-convergence trilinear decomposition (FC-TD) algorithm to jointly estimate FDA-MIMO radar target angle and range. We first use a propagator method to obtain coarse angle and range estimates in the data domain. Next, the coarse estimates are used as initialized parameters instead of the traditional TALS algorithm random initialization to reduce iterations and accelerate convergence. Finally, fine angle and range estimates are derived and automatically paired. Compared to the traditional TALS algorithm, the proposed FC-TD algorithm has lower computational complexity with no estimation performance degradation. Moreover, Cramer-Rao bounds are presented and simulation results are provided to validate the proposed FC-TD algorithm effectiveness.

LncRNA DANCR and miR-320a suppressed osteogenic differentiation in osteoporosis by directly inhibiting the Wnt/β-catenin signaling pathway

Wang Cheng-Gong,Hu Yi-He,Su Shi-Long,Zhong Da 생화학분자생물학회 2020 Experimental and molecular medicine Vol.52 No.-

Our study aimed to determine how lncRNA DANCR, miR-320a, and CTNNB1 interact with each other and regulate osteogenic differentiation in osteoporosis. qRT-PCR and western blotting were performed to determine the expression of DANCR, miR-320a, CTNNB1, and the osteoporosis- or Wnt/β-catenin pathway-related markers T-cell factor 1 (TCF-1), runt-related transcription factor 2 (RUNX2), alkaline phosphatase (ALP), osteocalcin (OCN), and osteopontin (OPN). Interactions between CTNNB1, DANCR, and miR-320a were predicted by bioinformatics approaches and validated using a luciferase assay. Osteoblastic phenotypes were evaluated by ALP staining, ALP activity assay and Alizarin Red staining. The bilateral ovariectomy method was used to establish an in vivo osteoporosis model. Bone morphological changes were examined using hematoxylin and eosin (H&E) and Alcian Blue staining. The expression levels of DANCR and miR-320a in BMSCs derived from osteoporosis patients were upregulated, whereas CTNNB1 expression was downregulated compared with that in healthy controls. Importantly, we demonstrated that miR-320a and DANCR acted independently from each other and both inhibited CTNNB1 expression, whereas the inhibitory effect was additive when miR-320a and DANCR were cooverexpressed. Moreover, we found that DANCR overexpression largely abrogated the effect of the miR-320a inhibitor on CTNNB1 expression and the Wnt/β-catenin signaling pathway in BMSCs during osteogenic differentiation. We further confirmed the results above in BMSCs derived from an osteoporosis animal model. Taken together, our findings revealed that DANCR and miR-320a regulated the Wnt/ β-catenin signaling pathway during osteogenic differentiation in osteoporosis through CTNNB1 inhibition. Our results highlight the potential value of DANCR and miR-320a as promising therapeutic targets for osteoporosis treatment.

Short-Term Forecasting for Harbor Waterway Currents Speeds

Cheng Gong,Yan Lv,Chunjiang Zhang,Xiyuan Wang,Wei Huangfu,Zhongshan Zhang 보안공학연구지원센터 2014 International Journal of Multimedia and Ubiquitous Vol.9 No.12

The ocean currents speeds in the harbor waterway are directly related to the ability of the ship to in or out the harbor. Accurately predict the speeds can assist the ship to choose the right time for sailing. To solve this problem, we chose two models of linear and non-linear prediction. We had set sensors in Qinhuangdao for a long time, then using the collected data for training. Our test is using a lot of random data to train and predict with different steps and orders. The results show that both methods can use less original data to train the model, and finally achieve preferably prediction. According to the characteristics of Qinhuangdao harbor, Auto-Regressive (AR) model is more appropriate than Support Vector Regression (SVR) model.

Generation of Selenoprotein with Glutathione Peroxidase Activity by Chemical Modification of the Single-chain Variable Fragment Expressed in a Single-protein Production System and Its Antioxidant Ability

Cheng Wang,Gang-Lin Yan,Shao-Wu Lü,Chun-Hong Sui,Yang Zhao,Ya-Wei Xu,Gang Zhao,Jun-jie Xu,Ping-Sheng Gong,Gui-Min Luo,Ying Mu 한국생물공학회 2013 Biotechnology and Bioprocess Engineering Vol.18 No.1

Glutathione peroxidase (GPX) is one of the important members of the antioxidant enzyme family. It can catalyze the reduction of hydroperoxides with glutathione to protect cells against oxidative damage. Single-chain variable fragment (scFv) can be converted into seleniumcontaining single-chain variable fragment (Se-scFv) by chemical modification of the hydroxyl groups in scFv, thus Se-scFv possesses GPX activity and becomes a prodrug. To improve the expression of scFv and simplify its purification steps, Single-protein production (SPP) system was used to express scFv and chemical modification was used to synthesize Se-scFv. Therefore, we must construct a new scFv-WCD1-lessACA gene, which can express its mRNA not containing any ACA sequences and express its amino acid sequence of target protein (scFv) being same to scFv-WCD1. In this way, the scFv-WCD1-lessACA can be only expressed in SPP system and no other background proteins in the cells could be expressed. The expression results showed that high level of scFv-WCD1-lessACA synthesis was at least sustained for 96 h in the virtual absence of background protein synthesis. Then, selenocysteine (Sec) was incorporated into the scFv-WCD1-lessACA by chemical modification and resulted in Se-scFv-WCD1-lessACA. The enzymatic characteristics of Se-scFv-WCD1-lessACA were determined. GPX activity was 2,563 U/μmol,its binding constant for GSH was 0.687 ×105/mol. Moreover,Se-scFv-WCD1-lessACA was confirmed to have a strong antioxidant ability to protect mitochondria against oxidative damage induced by Vc/Fe2+ (mitochondrial damage model),suggesting that Se-scFv-WCD1-lessACA has potential application for protection of mitochondrial damage induced by reactive oxygen species (ROS).

The clustering of the SDSS-IV extended Baryon Oscillation Spectroscopic Survey DR14 quasar sample: anisotropic Baryon Acoustic Oscillations measurements in Fourier-space with optimal redshift weights

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 &lt; z &lt; 2.2. This paper is part of a set that analyses the eBOSS DR14 quasar sample.</P>

Outcomes Based on Risk Assessment of Anastomotic Leakage after Rectal Cancer Surgery

Gong, Jian-Ping,Yang, Liu,Huang, Xin-En,Sun, Bei-Cheng,Zhou, Jian-Nong,Yu, Dong-Sheng,Zhou, Xin,Li, Dong-Zheng,Guan, Xin,Wang, Dong-Feng Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.2

Purpose: Anastomotic leakage (AL) is associated with high morbidity and mortality, high reoperation rates, and increased hospital length of stay. Here we investigated the risk factors for AL after anterior resection for rectal cancer with a double stapling technique. Patients and Methods: Data for 460 patients who underwent primary anterior resection with a double stapling technique for rectal carcinoma at a single institution from 2003 to 2007 were prospectively collected. All patients experienced a total mesorectal excision (TME) operation. Clinical AL was defined as the presence of leakage signs and confirmed by diagnostic work-up according to ICD-9 codes 997.4, 567.22 (abdominopelvic abscess), and 569.81 (fistula of the intestine). Univariate and logistic regression analyses of 20 variables were undertaken to determine risk factors for AL. Survival was analysed using the Cox regression method. Results: AL was noted in 35 (7.6%) of 460 patients with rectal cancer. :Median age of the patients was 65 (50-74) and 161 (35%) were male. The diagnosis of AL was made between the 6th and 12th postoperative day (POD; mean 8th POD). After univariate and multivariate analysis, age (p=0.004), gender (p=0.007), tumor site (p<0.001), preoperative body mass index (EMI) (p<0.001), the reduction of TSGF on 5th POD less than 10U/ml (p=0.044) and the pH value of pelvic dranage less than or equal to 6.978 on 3rd POD (p<0.001) were selected as 6 independent risk factors for AL. It was shown that significant differences in survival of the patients were AL-related (p<0.001), high ASA score related (p=0.036), high-level EMI related (p=0.007) and advanced TNM stage related <p<0.001). Conclusions: AL after anterior resection for rectal carcinoma is related to advanced age, low tumor site, male sex, high preoperative EMI, low pH value of pelvic drainage on POD 3 and a significant reduction of TSGF on POD 5. In addition to their high risk of immediate postoperative morbidity and mortality, AL, worse physical status, severe obesity and advanced TNM stage have similarly negative impact on survival.

A Novel Hybrid Speed Controller of the Vector Control System

Shanmei Cheng,Bo Gong,Jiangcheng Wang 제어로봇시스템학회 2010 제어로봇시스템학회 국제학술대회 논문집 Vol.2010 No.10

In this paper, a hybrid speed controller based on proportional integral (PI) controller and artificial neural network(ANN) is proposed as a speed controller for an indirect field oriented induction motor vector control system. The new controller has self-learning and self-organization capabilities. Its parameters are adjusted online according to back propagation (BP) algorithm. The weighting coefficients of the hidden layer are constant, and learning is realized by auto-tuning of connective weights between the hidden nodes and the output nodes. So the controller has the advantages of simple structure and less calculation. A vector control system with hybrid speed controller is verified by experiments. The experimental results show the hybrid speed controller can get rapid dynamic response with almost no overshoot, good robustness and control performance.

Sensorless Vector Control for Permanent Magnet Synchronous Motor Fed by Three-Level Inverter

Jiangcheng Wang,Shanmei Cheng,Bo Gong 제어로봇시스템학회 2010 제어로봇시스템학회 국제학술대회 논문집 Vol.2010 No.10

Three-level inverters and relative techniques have been concerned more and more in industrial drive applications because of the outstanding performance. The aim of this paper is to present a strategy for the sensorless vector control of Permanent Magnet Synchronous Motor (PMSM) drive fed with a three-level Neutral-Point-Clamped (NPC) inverter. By measuring the different current change rates which are caused by the voltage vectors applied to the motor by the Space Vector Modulation (SVM) scheme for three-level inverter, signals that contain the information of rotor position are obtained. Therefore, the rotor angle can be calculated. Since none of any prior knowledge of the PMSM parameters is used, the position estimation accuracy is not affected by the parameters variation or measurement error. Furthermore, taking advantages of the three-level voltage inverter, the ripples of torque as well as the harmonics of the phase voltages are significantly reduced. The simulation results demonstrate that the proposed strategy is effective and this system operates well over a wide speed range.

Efficient Mining Maximal Subspace Differential Co-expression Patterns in Matrix Datasets : a General Earthquake Analysis Approach

Miao Wang,Zhiyong Xiong,Liang Xu,Lihua Zhang,Cheng Gong,Yi Hu,Yi Lin 보안공학연구지원센터 2015 International Journal of Database Theory and Appli Vol.8 No.3

The electromagnetic anomaly observations before earthquake, have been confirmed by many cases of strong earthquakes. The analysis of earthquake magnetic anomaly is an effective approach for seismo-precursor detection. Traditional frequent mining methods for electromagnetic matrix datasets analysis often find the co-related items. However, these methods may miss the items which are differential co-related patters under different datasets. Mining these differential co-related patterns is more valuable for inferring potential knowledge. In this paper, we develop an algorithm, MSPattern, to mine maximal subspace differential co-expression patterns. MSPattern constructs a weighted undirected item-item relational graph firstly. Then all the maximal co-related patterns would be mined using item-growth method in above graph. MSPattern also utilizes several techniques for producing maximal patterns without candidate patterns maintenance. Evaluated by real electromagnetic matrix datasets and the gene expression datasets, the experimental results show our algorithm can find some potential knowledge for earthquake analysis, and MSPattern algorithm is more efficient than traditional ones. The performance of MSPattern is also evaluated by empirical p-value and gene ontology, the results show our algorithm can find statistical significant and biological differential co-expression patterns.

Investigation of fl ow regime in debris bed formation behavior with nonspherical particles

Songbai Cheng,Pengfeng Gong,Shixian Wang,Jinjiang Cui,Yujia Qian,Ting Zhang,Guangyu Jiang 한국원자력학회 2018 Nuclear Engineering and Technology Vol.50 No.1

It is important to clarify the characteristics of flow regimes underlying the debris bed formation behaviorthat might be encountered in core disruptive accidents of sodium-cooled fast reactors. Although in ourprevious publications, by applying dimensional analysis technique, an empirical model, with itsreasonability confirmed over a variety of parametric conditions, has been successfully developed topredict the regime transition and final bed geometry formed, so far this model is restricted to predictionsof debris mixtures composed of spherical particles. Focusing on this aspect, in this study a new series ofexperiments using nonspherical particles have been conducted. Based on the knowledge and data obtained,an extension scheme is suggested with the purpose of extending the base model to cover theparticle-shape influence. Through detailed analyses and given our current range of experimental conditions,it is found that, by coupling the base model with this scheme, respectable agreement betweenexperiments and model predictions for the regime transition can be achieved for both spherical andnonspherical particles. Knowledge and evidence from our work might be utilized for the futureimprovement of design of an in-vessel core catcher as well as the development and verification of sodium-cooled fast reactor severe accident analysis codes in China.