Structure-based functional site recognition for p21-activated kinase 4

Jian Wang,Gang Wang,Yu Sha,Dong-Mei Zhao,Feng Li,Mao-Sheng Cheng 대한약학회 2013 Archives of Pharmacal Research Vol.36 No.12

Recently, many molecular modeling methodsare being developed to better understand the principlesunderlying protein folding. In the present study, fullyflexible dinucleotides d(pApA), d(pApC), d(pApG),d(pApT), d(pCpA), d(pCpC), d(pCpG), d(pCpT), d(pGpA),d(pGpC), d(pGpG), d(pGpT), d(pTpA), d(pTpC), d(pTpG)and d(pTpT) were docked onto the surface of p21-activatedkinase 4 (PAK4) kinase domain. The results showedthat automated docking was a useful tool to identify thefunctional sites of PAK4 and it may provide a theoreticalbasis for the interaction data obtained from previousexperiments. Therefore, structure-based docking with fullyflexible dinucleotide probes might be a good tool to predictand annotate the functional sites of enzymes.

Bayesian FEM Updating of a Long-Span Suspension Bridge Utilizing Hybrid Monte Carlo Simulation and Kriging Predictor

Jian-Xiao Mao,Hao Wang,Jian Li 대한토목학회 2020 KSCE JOURNAL OF CIVIL ENGINEERING Vol.24 No.2

Bayesian model updating technique has been widely investigated and utilized in the field of finite element model (FEM) updating for its advantages in system uncertainty quantification. Most existing studies focus on numerical and experimental models. More studies on large-scale civil infrastructures based on field monitoring are still required. A case study on Bayesian FEM updating of the Runyang Suspension Bridge (RSB), a long-span suspension bridge with a main span of 1,490 m, is carried out in this paper. The Bayesian updating method is utilized to update the initial FEM of RSB, aiming to make the numerical modal properties match the field monitoring results. Two stochastic sampling algorithms, i.e., the Metropolis-Hastings (MH) algorithm and the Hybrid Monte Carlo (HMC) algorithm, are respectively investigated to show their advantages and limitations in Bayesian updating. Subsequently, based on the experimentalsamples generated by the Latin hypercube sampling algorithm, a Kriging predictor is established as a surrogate model to reduce the computational burden of model updating. Results show that the HMC algorithm could guarantee much higher acceptance rate of the sampled chain than the MH algorithm especially when the updating step size is large. In addition, combined with the Kriging predictor, Bayesian model updating method could serve as an effective and efficient tool to calibrate the FEM of large-scale civil infrastructures.

An Efficient Fire Detection Method Based on Orientation Feature

Mao Ye,Tao Li,Feng Pang,Haiyang Wang,Jian Ding 제어·로봇·시스템학회 2013 International Journal of Control, Automation, and Vol.11 No.5

This paper proposes a novel method for reliable fire detection. The burning fire usually causes rich moving features in terms of directions, which can offer the best chance to distinguish between the fire region and the non-fire one. Motivated by this observation, we design a novel orientation feature to represent this characteristic. Based on this feature, a method is proposed to detect the fire efficiently. First, fire color is utilized to extract the fire candidate areas from the surveillance video. Then, the direction is obtained by computing the optical flow for each pixel in the candidate area. The directions are discretized to four parts. By counting the percentage of pixels whose moving directions fall into these four parts in a period of time, and combining with the two parameters, i.e., both of the number of frames without the moving directions and the number of consecutive frames in the candidate area, we use these six parameters as the fire orientation feature. In the end, by training a support vector machine (SVM) classifier with the input of our fire orientation feature, the candidate area is judged whether it is a fire. Our main contribution is that we design the novel fire orientation feature. The fea-ture can not only characterize the fire intrinsic dynamic properties accurately but also is very efficient. Compared with the art-of-state methods, the experimental results confirm that our approach signifi-cantly improves the accuracy of fire detection and impressively decreases the false alarm rate. The de-tection speed of our approach is also very competitive with the art-of-state fire detection methods.

Variability analysis on modal parameters of Runyang Bridge during Typhoon Masta

Jian-Xiao Mao,Hao Wang,Zhi-Xiang Xun,Zhong-Qin Zou 국제구조공학회 2017 Smart Structures and Systems, An International Jou Vol.19 No.6

The modal parameters of the deck of Runyang Suspension Bridge (RSB) as well as their relationships with wind and temperature are studied based on the data recorded by its Structural Health Monitoring System (SHMS). Firstly, frequency analysis on the vertical responses at the two sides of the deck is carried out to distinguish the vertical and torsional vibration modes. Then, the vertical, torsional and lateral modal parameters of the deck of RSB are identified using Hilbert-Huang Transform (HHT) and validated by the identified results before RSB was opened to traffic. On the basis of this, the modal frequencies and damping ratios of RSB during the whole process of Typhoon Masta are obtained. And the correlation analysis on the modal parameters and wind environmental factors is then conducted. Results show that the HHT can achieve an accurate modal identification of RSB and the damping ratios show an obvious decay trend as the frequencies increase. Besides, compared to frequencies, the damping ratios are more sensitive to the environmental factors, in particular, the wind speed. Further study on configuring the variation law of modal parameters related with environmental factors should be continued.

New Technique of Intracorporeal Anastomosis and Transvaginal Specimen Extraction for Laparoscopic Sigmoid Colectomy

Wang, Zheng,Zhang, Xing-Mao,Zhou, Hai-Tao,Liang, Jian-Wei,Zhou, Zhi-Xiang Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.16

Background: Despite the growing acceptance of laparoscopic colon surgery, an abdominal incision is needed to remove the specimen and perform an anastomosis. Recently, natural orifice specimen extraction (NOSE) and intracorporeal anastomosis have been proposed to minimize abdominal wall trauma and improve the quality of laparoscopic colon resections Objective: To evaluate the feasibility and safety of a new approach combining intracorporeal delta-shaped anastomosis and transvaginal specimen extraction for totally laparoscopic sigmoid colectomy. Materials and Methods: Mobilization of bowel and dissection of lymph nodes were performed laparoscopically. After both proximal and distal incisal edges about 10.0 cm distance from sigmoid neoplasm were transected with an Endoscopic Linear Cutter-Straight, a small incision about 1.0 cm was created on the each colon wall of the contralateral side of the mesentery. Then anvils of an Endoscopic Linear Cutter-Straight were inserted into each colon through the small incisions, and incision and anastomosis between the walls of each colon were performed with a linear stapler. A V-shaped anastomosis was made on the wall and the remnant openings was reclosed with the Endoscopic Linear Cutter-Straight. The culdotomy was enlarged with laparoscopic ultrasound dissector. Transvaginal extraction of specimens was accomplished through a wound protector. Results: Surgery was performed for 11 patients with sigmoid cancer. No intraoperative complications or conversions occurred. The mean operating time was 132 min. All the patients were treated laparoscopically without any postoperative complications. Conclusions: The procedures of intracorporeal delta-shaped anastomosis and transvaginal specimen extraction are safe and oncologically acceptable for selected colon cancer cases.

Power Distribution and Coordinated Control for a Power Split Hybrid Electric Bus

Wang, Feng,Zhong, Hu,Ma, Zi-Lin,Mao, Xiao-Jian,Zhuo, Bin The Korean Institute of Electrical Engineers 2008 Journal of Electrical Engineering & Technology Vol.3 No.4

The power distribution is proposed to determine the target operating points of the system components as the basis for maximal the efficiency of the overall system for a power split dual electric machine hybrid electric bus. The coordinated control is constructed on the basis of the power distribution. The basic coordinated control is implemented to satisfy the driver's power demand, in which both the dynamic characteristics of the engine and the dual electric machine are explicitly taken into account. Moreover, the improved coordinated control is suggested to suppress engine dynamic operation and rich fuel injection.

A Noninvasive Online System for Biomass Monitoring in Shaker Flasks Using Backward Scattered Light

Jian Mao,Yingge Yan,Olaf Eichstädt,Xianshuai Chen,Zuowei Wang,Jinming Cui 한국생물공학회 2017 Biotechnology and Bioprocess Engineering Vol.22 No.2

This paper presents a noninvasive optical sensor system for monitoring cell growth in shaker flasks commonly used in biological laboratories. The system uses an open-source microprocessor board to monitor concentration of Escherichia coli host cells. To allow measurement for a range of filling degrees and shaker speeds, the backscattering angle is chosen to minimize interference from surface reflections and the measurement window is synchronized to the position of the shaker flask. A nonlinear calibration model of scattered light can predict offline optical density with a mean relative error of 5.2%, an accuracy which is comparable to the classical offline method and sufficient for biotechnology applications.

A CdSO₄-like 3D Framework Constructed from Benzophenone-2,4'-dicarboxylic Acid and 1,4-Bis(1,2,4-triazol-1-ylmethyl)-benzene: Synthesis, Structure and Physical Properties

Wang, Jun,Tao, Jian-Qing,Xu, Xiao-Juan,Mao, Dan Korean Chemical Society 2013 Bulletin of the Korean Chemical Society Vol.34 No.7

Thermo-mechanical coupling behavior analysis for a U-10Mo/Al monolithic fuel assembly

Mao, Xiaoxiao,Jian, Xiaobin,Wang, Haoyu,Zhang, Jingyu,Zhang, Jibin,Yan, Feng,Wei, Hongyang,Ding, Shurong,Li, Yuanming Korean Nuclear Society 2021 Nuclear Engineering and Technology Vol.53 No.9

A typical three-dimensional finite element model for a fuel assembly is established, which is composed of 16 monolithic U-10Mo fuel plates and Al alloy frame. The distribution and evolution results of temperature, displacement and stresses/strains in all the parts are numerically obtained and analyzed with a self-developed code of FUELTM. The simulation results indicate that (1) the out-of-plane displacements of Al alloy side plates are mainly attributed to the bending deformations; (2) enhanced out-of-plane displacements appear in fuel plates adjacent to the outside Al plates, which results from the occurred bending deformations due to the applied constraints of outside Al plates; (3) an intense interaction of fuel foil with the cladding occurs near the foil edge, which appears more heavily in the fuel plates adjacent to the outside Al plates. The maximum first principal stresses in the fuel foil are similar for all the fuel plates and appear near the fuel foil edge; while, the through-thickness creep strains of fuel foil in the fuel plate near the central region of fuel assembly are larger, and the induced creep damage might weaken the fuel skeleton strength and raise the fuel failure risk.

Gaussian mixture model for automated tracking of modal parameters of long-span bridge

Jian-Xiao Mao,Hao Wang,Billie F. Spencer Jr. 국제구조공학회 2019 Smart Structures and Systems, An International Jou Vol.24 No.2

Determination of the most meaningful structural modes and gaining insight into how these modes evolve are important issues for long-term structural health monitoring of the long-span bridges. To address this issue, modal parameters identified throughout the life of the bridge need to be compared and linked with each other, which is the process of mode tracking. The modal frequencies for a long-span bridge are typically closely-spaced, sensitive to the environment (e.g., temperature, wind, traffic, etc.), which makes the automated tracking of modal parameters a difficult process, often requiring human intervention. Machine learning methods are well-suited for uncovering complex underlying relationships between processes and thus have the potential to realize accurate and automated modal tracking. In this study, Gaussian mixture model (GMM), a popular unsupervised machine learning method, is employed to automatically determine and update baseline modal properties from the identified unlabeled modal parameters. On this foundation, a new mode tracking method is proposed for automated mode tracking for long-span bridges. Firstly, a numerical example for a three-degree-of-freedom system is employed to validate the feasibility of using GMM to automatically determine the baseline modal properties. Subsequently, the field monitoring data of a long-span bridge are utilized to illustrate the practical usage of GMM for automated determination of the baseline list. Finally, the continuously monitoring bridge acceleration data during strong typhoon events are employed to validate the reliability of proposed method in tracking the changing modal parameters. Results show that the proposed method can automatically track the modal parameters in disastrous scenarios and provide valuable references for condition assessment of the bridge structure.