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Ag-W18O49-GO Nanocomposite as Highly Effective Antibacterial Agent with Capturing-Killing Mechanism
Le Xu,Linge Chai,Zhao Li,Xiaokun Jin,Danxia Gu,Xueting Chang,Shibin Sun 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2017 NANO Vol.12 No.12
In this work, a novel nanocomposite (NC) based on the decoration of Ag nanoparticles (NPs) and W18O49 nanorods (NRs) on the GO surfaces was prepared using combined techniques of solvothermal method and photochemical process. Compared with the Ag-GO NC, the Ag-W18O49-GO NC exhibited enhanced long-term antibacterial activity against the bacterium of Bacillus sp.1NLA3E (Bacillus sp.). The antibacterial mechanisms of both the Ag-GO and Ag-W18O49-GO NCs were distinctly revealed by observation of the direct interaction between the Ag NPs,W18O49 NRs, or GO sheets and the bacterial cells. Results showed that the GO sheets in the NCs mainly acted as supports for trapping or wrapping the bacterial cells, and it was the Ag NPs or W18O49 NRs grown on the GO surfaces that caused direct damage to the cells. The synergistic effects between the Ag NPs or W18O49 NRs and the GO sheets resulted in the prominent long-term antibacterial effect of the Ag-W18O49-GO NC. This work provides in-depth understanding of the mechanism regarding the antibacterial activity of the GO-based NCs.
Huihan Xi,Yunhong Liu,Linge Guo,Runrun Hu 한국식품과학회 2020 Food Science and Biotechnology Vol.29 No.1
The experiments of contact ultrasound-assisted far-infrared radiation (FIR) drying on potato slices were conducted to investigate the effects of ultrasonic power on drying characteristics and quality properties. The results showed that contact ultrasound was helpful for accelerating mass transfer of the samples, and the improvement of ultrasonic power could significantly shorten drying time. The ultrasonic reinforcement effect on drying rate declined along with the decrease in moisture content. Deff values were within 1.15 9 10-10 and 1.96 9 10-10 m2/s, and improved with an increase in ultrasound power. Compared with FIR dried ones, more and larger pore size of microcapillaries in the samples’ tissue structure could be observed with contact ultrasound application, and higher ultrasonic power produced more microtunnels. Contact ultrasound in FIR drying could reduce the color difference of dried potato slices, and decrease the hardness and brittleness values. Higher TPC and TFC could be achieved as ultrasonic power increased.
An Optimization Scheme in MapReduce for Reduce Stage
Qi Liu,Weidong Cai,Baowei Wang,Zhangjie Fu,Nigel Linge 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.8
As a widely used programming model for the purposes of processing large data sets, MapReduce (MR) becomes inevitable in data clusters or grids, e.g. a Hadoop environment. Load balancing as a key factor affecting the performance of map resource distribution, has recently gained high concerns to optimize. Current MR processes in the realization of distributed tasks to clusters use hashing with random modulo operations, which can lead to uneven data distribution and inclined loads, thereby obstruct the performance of the entire distribution system. In this paper, a virtual partition consistent hashing (VPCH) algorithm is proposed for the reduce stage of MR processes, in order to achieve such a trade-off on job allocation. Besides, experienced programmers are needed to decide the number of reducers used during the reduce phase of the MR, which makes the quality of MR scripts differ. So, an extreme learning method is employed to recommend potential number of reducer a mapped task needs. Execution time is also predicted for user to better arrange their tasks. According to the results, VPCH can lead to load balancing and our prediction model can provide fast prediction than SVM with similar accuracy maintained.
Qi Liu,Weidong Cai,Zhangjie Fu,Jian Shen,Nigel Linge 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.2
MapReduce, as a popular programming model for processing large data sets, has been widely applied. MapReduce 2.0 (MRV2) is a newly adopted one, which has a better performance. Those machines which have a lower performance in a cluster usually play a role who pull down the pace of job execution time. Speculative execution known as an approach for dealing with the above problems works by backing up those tasks running on a low performance machine to a higher one. Although multiple speculative execution strategies have been proposed, there are still a lot of pitfalls existing in the strategies. In this paper, Some pitfalls in proposed strategy have been modified and computer hardware has been taken into consideration (HWC-Speculation). In Hadoop-2.6, we have implemented it, called Hadoop-HWC. Experiment results show that our method can find a slow task correctly, also, the performance of MRV2 is improved.
( Qi Liu ),( Weidong Cai ),( Qiang Liu ),( Jian Shen ),( Zhangjie Fu ),( Xiaodong Liu ),( Nigel Linge ) 한국인터넷정보학회 2017 KSII Transactions on Internet and Information Syst Vol.11 No.2
MapReduce (MRV1), a popular programming model, proposed by Google, has been well used to process large datasets in Hadoop, an open source cloud platform. Its new version MapReduce 2.0 (MRV2) developed along with the emerging of Yarn has achieved obvious improvement over MRV1. However, MRV2 suffers from long finishing time on certain types of jobs. Speculative Execution (SE) has been presented as an approach to the problem above by backing up those delayed jobs from low-performance machines to higher ones. In this paper, an adaptive SE strategy (ASE) is presented in Hadoop-2.6.0. Experiment results have depicted that the ASE duplicates tasks according to real-time resources usage among work nodes in a cloud. In addition, the performance of MRV2 is largely improved using the ASE strategy on job execution time and resource consumption, whether in a multi-job environment.