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Jiafeng Wei,Wangqing Shen,Yin Liu 한국공업화학회 2023 Journal of Industrial and Engineering Chemistry Vol.120 No.-
Dye wastewater and municipal landfill leachate greatly threaten the ecological environment and humanhealth. We prepared SrWO4@MIL-88A(Fe) composites in this work by room temperature synthesis. A systematicdegradation study of methylene blue (MB) and landfill leachate was carried out using the photo-Fenton process. The results showed that SrWO4@MIL-88A(Fe) could degrade 93.75 % of MB within fourmin. Within 15 min of sunlight irradiation, SrWO4@MIL-88A(Fe) could degrade up to 95 % of MB. It couldeliminate up to 87.19 % of COD, 90.23 % of BOD5, 99.50 % of TOP- P, 80.96 % of TOP-N, and 81.48 % of NH3-N in the leachate. The toxicity of the deep-purified leachate is significantly reduced, and alfalfa seeds canuse the remaining organic matter in the leachate to germinate and grow, thus achieving self-purificationof the detoxified leachate. In addition, the photo-Fenton technology can effectively kill the bacterialmicroorganisms in the leachate and reduce the epidemiological hazard to organisms. In conclusion,the photo-Fenton process of SrWO4@MIL-88A(Fe) provides a purification pathway for the dual-effecttreatment of MB and municipal landfill leachate.
Efficient Compression Algorithm with Limited Resource for Continuous Surveillance
( Ling Yin ),( Chuanren Liu ),( Xinjiang Lu ),( Jiafeng Chen ),( Caixing Liu ) 한국인터넷정보학회 2016 KSII Transactions on Internet and Information Syst Vol.10 No.11
Energy efficiency of resource-constrained wireless sensor networks is critical in applications such as real-time monitoring/surveillance. To improve the energy efficiency and reduce the energy consumption, the time series data can be compressed before transmission. However, most of the compression algorithms for time series data were developed only for single variate scenarios, while in practice there are often multiple sensor nodes in one application and the collected data is actually multivariate time series. In this paper, we propose to compress the time series data by the Lasso (least absolute shrinkage and selection operator) approximation. We show that, our approach can be naturally extended for compressing the multivariate time series data. Our extension is novel since it constructs an optimal projection of the original multivariates where the best energy efficiency can be realized. The two algorithms are named by ULasso (Univariate Lasso) and MLasso (Multivariate Lasso), for which we also provide practical guidance for parameter selection. Finally, empirically evaluation is implemented with several publicly available real-world data sets from different application domains. We quantify the algorithm performance by measuring the approximation error, compression ratio, and computation complexity. The results show that ULasso and MLasso are superior to or at least equivalent to compression performance of LTC and PLAMlis. Particularly, MLasso can significantly reduce the smooth multivariate time series data, without breaking the major trends and important changes of the sensor network system.
A New Approach for Test Detection Using Homoge
Jianhua Huang,Xianglong Tang,Jiafeng Liu,Lili Xu 한국어정보학회 2006 한국어정보학 Vol.8 No.1
In this paper, a new approach for text detection in images and video based on homogeneity is studied. The texture analysis is applied to the homogeneity domain. Both local information and global information are used while calculating the homogeneity feature. Text region property is confirmed by using neural network trained to extract property feature by a fixed size text detector in homogeneity domain. Comparisons with text detection edge‐based method show that the proposed method has a better accuracy.
Fu, Xinmiao,Shi, Xiaodong,Yin, Linxiang,Liu, Jiafeng,Joo, Keehyoung,Lee, Jooyoung,Chang, Zengyi American Society for Biochemistry and Molecular Bi 2013 The Journal of biological chemistry Vol.288 No.17
<P>As ubiquitous molecular chaperones, small heat shock proteins (sHSPs) are crucial for protein homeostasis. It is not clear why sHSPs are able to bind a wide spectrum of non-native substrate proteins and how such binding is enhanced by heat shock. Here, by utilizing a genetically incorporated photo-cross-linker (<I>p</I>-benzoyl-<SMALL>l</SMALL>-phenylalanine), we systematically characterized the substrate-binding residues in IbpB (a sHSP from <I>Escherichia coli</I>) in living cells over a wide spectrum of temperatures (from 20 to 50 °C). A total of 20 and 48 residues were identified at normal and heat shock temperatures, respectively. They are not necessarily hydrophobic and can be classified into three types: types I and II were activated at low and normal temperatures, respectively, and type III mediated oligomerization at low temperature but switched to substrate binding at heat shock temperature. In addition, substrate binding of IbpB in living cells began at temperatures as low as 25 °C and was further enhanced upon temperature elevation. Together, these <I>in vivo</I> data provide novel structural insights into the wide substrate spectrum of sHSPs and suggest that sHSP is able to hierarchically activate its multi-type substrate-binding residues and thus act as a robust chaperone in cells under fluctuating growth conditions.</P>
Threshold magnetoresistance in anistropic magnetic 2D transition metal dichalcogenides
Xu, Hongjun,Hsu, Ming-Chien,Fuh, Huei-Ru,Feng, Jiafeng,Han, Xiufeng,Zhao, Yanfeng,Zhang, Duan,Wang, Xinming,Liu, Fang,Liu, Huajun,Cho, Jiung,Choi, Miri,Chun, Byong Sun,Ó,Coileá,in, Cormac The Royal Society of Chemistry 2018 Journal of Materials Chemistry C Vol.6 No.12
<P>Recently many novel magnetoresistance (MR) phenomena have been reported from studies of two dimensional (2D) materials. Here, we report on the exotic transport behavior of VS2. A large negative and quadratic MR of −10% is observed for an in-plane magnetic field B up to 14 T. Remarkably, when the applied field deviates from the in-plane orientation there is a threshold field, Bc, and the MR shows a plateau of near zero MR. When B < Bc, only a single state exists and the transition between quantum spin states is forbidden. Our work sheds new light on the MR of magnetic 2D materials with localized states and may spur further investigations.</P>