Abscisic Acid Uridine Diphosphate Glucosyltransferases Play a Crucial Role in Abscisic Acid Homeostasis in Arabidopsis

Dong, Ting,Xu, Zheng-Yi,Park, Youngmin,Kim, Dae Heon,Lee, Yongjik,Hwang, Inhwan American Society of Plant Biologists 2014 Plant Physiology Vol.165 No.1

<P><I>A glucosyltransferase and its two homologs play a critical role in ABA homeostasis by converting active ABA to an inactive ABA conjugate depending on intrinsic cellular and environmental conditions in plants</I>.</P>

Optimal sensor placement for health monitoring of high-rise structure based on collaborative-climb monkey algorithm

Ting-Hua Yi,Hong-Nan Li,Xu-Dong Zhang,Guang-Dong Zhou 국제구조공학회 2015 Structural Engineering and Mechanics, An Int'l Jou Vol.54 No.2

Optimal sensor placement (OSP) is an integral component in the design of an effectivestructural health monitoring (SHM) system. This paper describes the implementation of a novelcollaborative-climb monkey algorithm (CMA), which combines the artificial fish swarm algorithm (AFSA)with the monkey algorithm (MA), as a strategy for the optimal placement of a predefined number of sensors. Different from the original MA, the dual-structure coding method is adopted for the representation of designvariables. The collaborative-climb process that can make the full use of the monkeys’ experiences to guidethe movement is proposed and incorporated in the CMA to speed up the search efficiency of the algorithm. The effectiveness of the proposed algorithm is demonstrated by a numerical example with a high-risestructure. The results show that the proposed CMA algorithm can provide a robust design for sensornetworks, which exhibits superior convergence characteristics when compared to the original MA using thedual-structure coding method.

On the Capacity of Cognitive Radio Sensor Networks : From Physical Layer to Network Layer

Ting Dong 보안공학연구지원센터 2015 International Journal of Future Generation Communi Vol.8 No.5

Membranes Made from Electrospun Polyacrylonitrile Nonwoven Fibers with Uniform Diameter for Lithium-Ion Battery Separators

Ting Dong,Waqas Ul Arifeen,Minchoel Kim,Jungwook Choi,Kisoo Yoo,Tae Jo Ko 한국섬유공학회 2020 Fibers and polymers Vol.21 No.10

Membranes were prepared from polyacrylonitrile (PAN) fibers with uniform diameter for lithium-ion batteryseparators using optimized electrospinning parameters. In this work, the coefficient of variation (CV) is proposed as one ofthe indexes to evaluate the uniform consistency of fiber diameter. The most uniform fibrous membrane was compared with acontrol group that had different uniformity. The effects of the uniformity of the fiber diameter were studied in terms of themembrane porosity, electrolyte absorption, mechanical tensile strength, and thermal stability. The membranes wereassembled into coin cells with lithium cobaltite cathodes and graphite anodes, and the performance of the cells was tested. Asthe uniformity of the fiber diameter increased, the ionic conductivity improved and the interface resistance decreased. Theproposed separator improves the discharge capacity (181 mAh·g-1 at the 0.2C rate), C-rate cycling performance, andCoulombic efficiency (99.64 %), which indicates that the uniform membrane could be a candidate for high-performancelithium-ion battery separators.

Dispersal and Control of Anammox Granular Sludge at High Substrate Concentrations

Ting-Ting Chen,Ping Zheng,Li-Dong Shen,Chong-Jian Tang,Shuang Ding 한국생물공학회 2012 Biotechnology and Bioprocess Engineering Vol.17 No.5

This paper reports about the dispersal and control of anammox granular sludge at high substrate concentrations. The results demonstrate that anammox granular sludge would turn into flocculent sludge when the substrate concentrations exceed the inhibitory threshold concentrations, with an apparent drop in the settling velocity of anammox sludge from 73.73 to 16.49 m/h. Moreover, the sludge was washed out of the reactor and a decrease in the nitrogen removal rate from 23.82 to 16.97kg N/(m3/day) was observed. The dominant anammox bacteria in the granular and flocculent sludge were Candidatus Kuenenia stuttgartiensis; however, the contents of heme c and extracellular polymeric substances in the flocculent sludge were much lower than in the granular sludge. Furthermore, the chemical composition of extracellular polymeric substances was different. The high nitrite concentrations more than the inhibitory threshold concentrations were regarded as the reason for the observed granular sludge dispersal and deterioration in reactor performance. The apparent dispersed granular sludge and malfunction of reactor performance could be recovered by means of washing out the residual substrate from the reactor and then re-running the reactor from low substrate concentrations.

Optimal sensor placement for health monitoring of high-rise structure based on collaborative-climb monkey algorithm

Yi, Ting-Hua,Zhou, Guang-Dong,Li, Hong-Nan,Zhang, Xu-Dong Techno-Press 2015 Structural Engineering and Mechanics, An Int'l Jou Vol.54 No.2

Optimal sensor placement (OSP) is an integral component in the design of an effective structural health monitoring (SHM) system. This paper describes the implementation of a novel collaborative-climb monkey algorithm (CMA), which combines the artificial fish swarm algorithm (AFSA) with the monkey algorithm (MA), as a strategy for the optimal placement of a predefined number of sensors. Different from the original MA, the dual-structure coding method is adopted for the representation of design variables. The collaborative-climb process that can make the full use of the monkeys' experiences to guide the movement is proposed and incorporated in the CMA to speed up the search efficiency of the algorithm. The effectiveness of the proposed algorithm is demonstrated by a numerical example with a high-rise structure. The results show that the proposed CMA algorithm can provide a robust design for sensor networks, which exhibits superior convergence characteristics when compared to the original MA using the dual-structure coding method.

Radiofrequency Ablation Combined with Transcatheter Arterial Chemoembolization Therapy Versus Surgical Resection for Hepatocellular Carcinoma within the Milan Criteria: A Meta-Analysis

Wei-dong Wang,Li-hua Zhang,Jia-Yan Ni,Xiong-ying Jiang,Dong Chen,Yao-ting Chen,Hong-liang Sun,Jiang-hong Luo,Lin-feng Xu 대한영상의학회 2018 Korean Journal of Radiology Vol.19 No.4

Objective: To meta-analytically compare combined transarterial chemoembolization (TACE) plus radiofrequency ablation (RFA) and surgical resection (SR) for the treatment of hepatocellular carcinoma (HCC) within the Milan criteria. Materials and Methods: PubMed, Medline, Embase, and Cochrane Library were searched for studies comparing these two therapies that were published between January 2006 and August 2017. Overall survival rate (OS), recurrence-free survival rate (RFS), major complications and the average length of hospital stay were compared between these two therapies. Metaanalytic pooled odds ratio (OR) was calculated using TACE plus RFA as the base category. Results: Seven case-control studies and one randomized trial were identified. Meta-analytic results revealed that, compared with SR, TACE plus RFA had significantly higher 1-year OS (OR for survival = 0.50, p = 0.009) and lower major complications (OR = 1.88, p = 0.02) after therapy. Three studies reported on the length of hospital stay. The average length ± standard deviation reported in individual studies for SR and TACE plus RFA groups was 19.8 ± 8.4 days and 7.4 ± 2.2 days, respectively; 18.7 ± 4.9 days and 11.5 ± 6.9 days, respectively; and 16.6 ± 6.7 days and 8.5 ± 4.1 days, respectively (p < 0.0001 for all studies). Three or 5-year OS and 1-, 3-, or 5-year RFS did not significantly differ between the two therapies. Conclusion: Combined TACE plus RFA may be an alternative to SR for the treatment of patients with HCC within Milan the criteria. Non-randomized design in most of the original studies was a limitation.

Load rating of box girder bridges based on rapid testing using moving loads

Dong-Hui Yang,Hong Zhou,Ting-Hua Yi,Hong-Nan Li 국제구조공학회 2023 Smart Structures and Systems, An International Jou Vol.32 No.6

Box girder bridges are now widely used in bridge construction, and it is necessary to perform load rating regularly to evaluate the load capacity of box girder bridges. Load testing is a common measure for load rating. However, the bridge must be loaded by many trucks under different loading conditions, which is time-consuming and laborious. To solve this problem, this paper proposes a load rating method for box girder bridges based on rapid moving loads testing. The method includes three steps. First, the quasi-influence factors of the bridge are obtained by crossing the bridge with rapidly moving loads, and the structural modal parameters are simultaneously obtained from the dynamic data to supplement. Second, an objective function is constructed, consisting of the quasi-influence factors at several measurement points and structural modal parameters. The finite element model for load rating is then updated based on the Rosenbrock method. Third, on this basis, a load rating method is proposed using the updated model. The load rating method proposed in this paper can considerably reduce the time duration of traditional static load testing and effectively utilize the dynamic and static properties of box girder bridges to obtain an accurate finite element model. The load capacity obtained based on the updated model can avoid the inconsistency of the evaluation results for the different structural members using the adjustment factors specified in codes.

Use of High-performance Graphics Processing Units for Power System Demand Forecasting

Ting He,Ke Meng,ZhaoYang Dong,Yong-Taek Oh,Yan Xu 대한전기학회 2010 Journal of Electrical Engineering & Technology Vol.5 No.3

Load forecasting has always been essential to the operation and planning of power systems in deregulated electricity markets. Various methods have been proposed for load forecasting, and the neural network is one of the most widely accepted and used techniques. However, to obtain more accurate results, more information is needed as input variables, resulting in huge computational costs in the learning process. In this paper, to reduce training time in multi-layer perceptron-based short-term load forecasting, a graphics processing unit (GPU)-based computing method is introduced. The proposed approach is tested using the Korea electricity market historical demand data set. Results show that GPU-based computing greatly reduces computational costs.

Sensor placement optimization in structural health monitoring using distributed monkey algorithm

Ting-Hua Yi,Hong-Nan Li,Xu-Dong Zhang 국제구조공학회 2015 Smart Structures and Systems, An International Jou Vol.15 No.1

Proper placement of sensors plays a key role in construction and implementation of an effective structural health monitoring (SHM) system. This paper proposes a novel methodology called the distributed monkey algorithm (DMA) for the optimum design of SHM system sensor arrays. Different from the existing algorithms, the dual-structure coding method is adopted for the representation of design variables and the single large population is partitioned into subsets and each subpopulation searches the space in different directions separately, leading to quicker convergence and higher searching capability. After the personal areas of all subpopulations have been finished, the initial optimal solutions in every subpopulation are extracted and reordered into a new subpopulation, and the harmony search algorithm (HSA) is incorporated to find the final optimal solution. A computational case of a high-rise building has been implemented to demonstrate the effectiveness of the proposed method. Investigations have clearly suggested that the proposed DMA is simple in concept, few in parameters, easy in implementation, and could generate sensor configurations superior to other conventional algorithms both in terms of generating optimal solutions as well as faster convergence.