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Electric conductivity and electric convertibility of potassium acetate in water, ethanol, 2,2,2–trifluoroethanol, 2–propanol and their binary blends

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Chinese Journal of Chemical Engineering 2018年第12期26卷 2581-2591页

作者： xi wu Shiming Xu Debing wu Huan Liu Key Laboratory of Ocean Energy Utilization and Energy Conservation of Ministry of Education School of Energy and Power Engineering Dalian University of Technology

Salinity gradient energy between the concentrated and diluted electrolyte solutions can be converted to electric energy by using reverse electrodialysis(RED) technology. Electrolyte solution is a vital factor that impacts the energy conversion efficiency. Potassium acetate(KAc) was chosen as solute, and water, ethanol, 2,2,2-trifluoroethanol(TFE), 2-propanol(IPA) and several of their binary mixtures were selected as solvents. Electric conductivity of these solutions were measured under varying conditions. KAc was easily ionized in water and possessed the maximum electric conductivity, following by KAc–H_2O–TFE and KAc–H_2O–ethanol, and then KAc in pure TFE, ethanol, and IPA respectively. For electric convertibility of these solutions working in a RED power generation system, it was found that the KAc–H_2O possessed the maximum power density, and the KAc–ethanol–H_2O possessed the larger open circuit voltage than aqueous KAc solution under the same working condition. Besides, it was observed that both the electric conductivity and electric convertibility were significantly influenced by the concentration and temperature of solution. With the increasing of concentration,electric conductivity of these solutions increased firstly and then reached to the peak, but later it *** temperature took a positive impact role to the electric conductivity. Electric conductivity of these solutions can be estimated by using a modified amplitude version of Gaussian peak function.

关键词： Conductivity Alcohol Electrochemistry Solution Mixtures

Characterization of carboxylesterase PxαE8 and its role in multi-insecticide resistance in Plutella xylostella(L.)

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Journal of Integrative Agriculture 2022年第6期21卷 1713-1721页

作者： LI Ran SUN xi LIANG Pei GAO xi-wu Department of Entomology China Agricultural UniversityBeijing 100193P.R.China

Carboxylesterase(CarE)was considered as important phase-I detoxifying enzymes which participated in detoxification of different types of ***-regulation of CarE genes has been proved playing a major role in insecticide resistance in many pest insects,but its involvement in resistance to insecticides in Plutella xylostella has been rarely *** this study,a CarE cDNA named PxαE8 was identified in ***,which has an open reading frame of 1599 nucleotides and putatively encodes 532 amino *** investigation of spatial expression profiles of PxαE8 revealed that it was expressed in all developmental stages,especially in larvae and *** body part/tissue-specific expression profiles showed that the PxαE8 mainly expressed in fat body,malpighian tubule and hemolymph of ***,the relative expression of PxαE8 in two multi-resistant field populations,Hainan(HN)and Guangdong(GD)populations,was found 24.4-and 15.5-fold higher than that in susceptible population,*** of PxαE8 by RNA interference dramatically increased the mortalities of larvae of HN population treated with LC_(50) of beta-cypermethrin and phoxim by 25.3 and 18.3%,*** results suggested that up-regulation of PxαE8 was involved in resistance to both beta-cypermethrin and phoxim in ***,which shed light on further understanding of molecular mechanisms of multi-insecticide-resistance in *** and other pest insects.

关键词： Plutella xylostella carboxylesterase insecticide resistance beta-cypermethrin phoxim

Length-Changeable Incremental Extreme Learning Machine

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Journal of Computer Science & Technology 2017年第3期32卷 630-643页

作者： You-xi wu Dong Liu He Jiang School of Computer Science and Software Hebei University of Technology Tianjin 300130 China School of Economics and Management Hebei University of Technology Tianjin 300130 China Hebei Province Key Laboratory of Big Data Calculation Tianjin 300401 China School of Software Dalian University of Technology Dalian 116621 China

Extreme learning machine （ELM） is a learning algorithm for generalized single-hidden-layer feed-forward networks （SLFNs）. In order to obtain a suitable network architecture, Incremental Extreme Learning Machine （I-ELM） is a sort of ELM constructing SLFNs by adding hidden nodes one by one. Although kinds of I-ELM-class algorithms were proposed to improve the convergence rate or to obtain minimal training error, they do not change the construction way of I-ELM or face the over-fitting risk. Making the testing error converge quickly and stably therefore becomes an important issue. In this paper, we proposed a new incremental ELM which is referred to as Length-Changeable Incremental Extreme Learning Machine （LCI-ELM）. It allows more than one hidden node to be added to the network and the existing network will be regarded as a whole in output weights tuning. The output weights of newly added hidden nodes are determined using a partial error-minimizing method. We prove that an SLFN constructed using LCI-ELM has approximation capability on a universal compact input set as well as on a finite training set. Experimental results demonstrate that LCI-ELM achieves higher convergence rate as well as lower over-fitting risk than some competitive I-ELM-class algorithms.

关键词： single-hidden-layer feed-forward network (SLFN) incremental extreme learning machine (I-ELM) random hidden node convergence rate universal approximation

Parameter Estimation of Sub-/Super-synchronous Oscillation Based on Interpolated All-phase Fast Fourier Transform with Optimized Window Function

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Journal of Modern Power Systems and Clean Energy 2024年第4期12卷 1031-1041页

作者： Bo Sun xi wu xi Chen Zixiao Zou Qiang Li Bixing Ren School of Electrical Engineering Southeast UniversityNanjingChina State Grid Jiangsu Electric Power Company Limited Research Institute NanjingChina

In recent years,with increasing amounts of renewable energy sources connecting to power grids,sub-/super-synchronous oscillations(SSOs)occurred more *** to the time-variant nature of SsO magnitudes and frequencies,as well as the mutual interferences among SsO modes with close frequencies,the accurate parameter estimation of SsO has become a particularly challenging *** solve this issue,this paper proposes an improved spectrum analysis method by improving the window function and a spectrum correction method to achieve higher ***,by aiming at the sidelobe characteristics of the window function as evaluation criteria,a combined cosine function is optimized using a genetic algorithm(GA).Furthermore,the obtained window function is self-convolved to extend its excellent characteristics,which have better performance in reducing mutual interference from other SSO ***,a new form of interpolated all-phase fast Fourier transform(IpApFFT)using the optimized window function is proposed to estimate the parameters of *** method allows for phase-unbiased estimation while maintaining algorithmic simplicity and *** performance of the pro-posed method is demonstrated under various conditions,com-pared with other estimation *** results validate the effectiveness and superiority of the proposed method.

关键词： Sub-/Super-synchronous oscillation(SSO) window function parameter estimation interpolated all-phase fast Fourier transform(ApFFT)

A Longitudinal Study of the Effects of Family Background Factors on Mathematics Achievements Using Quantile Regression

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Acta Mathematicae Applicatae Sinica 2008年第1期24卷 85-98页

作者： xi-zhi wu Mao-zai Tian Center for Applied Statistics School of Statistics Renmin University of China Beijing 100872 China School of Statistics Renmin University of China Beijing 100872 China

Quantile regression is gradually emerging as a powerful tool for estimating models of conditional quantile functions, and therefore research in this area has vastly increased in the past two decades. This paper, with the quantile regression technique, is the first comprehensive longitudinal study on mathematics participation data collected in Alberta, Canada. The major advantage of longitudinal study is its capability to separate the so-called cohort and age effects in the context of population studies. One aim of this paper is to study whether the family background factors alter performance on the mathematical achievement of the strongest students in the same way as that of weaker students based on the large longitudinal sample of 2000, 2001 and 2002 mathematics participation longitudinal data set. The interesting findings suggest that there may be differential family background factor effects at different points in the mathematical achievement conditional distribution.

关键词： Mathematical achievement family background factors quantile regression confidence intervals,longitudinal study

An Evolutionary Algorithm for Non-Destructive Reverse Engineering of Integrated Circuits

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Computer Modeling in Engineering & Sciences 2021年第6期127卷 1151-1175页

作者： Huan Zhang Jiliu Zhou xi wu College of Computer Science Sichuan UniversityChengdu610065China School of Computer Science Chengdu University of Information TechnologyChengdu610225China

In hardware Trojan detection technology, destructive reverse engineering can restore an original integrated circuitwith the highest accuracy. However, this method has a much higher overhead in terms of time, effort, and cost thanbypass detection. This study proposes an algorithm, called mixed-feature gene expression programming, whichapplies non-destructive reverse engineering to the chip with bypass detection data. It aims to recover the originalintegrated circuit hardware, or else reveal the unknown circuit design in the chip.

关键词： Hardware Trojans Trojan detection mixed-feature gene expression programming

Parameter-Free Shifted Laplacian Reconstruction for Multiple Kernel Clustering

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IEEE/CAA Journal of Automatica Sinica 2024年第4期11卷 1072-1074页

作者： xi wu Zhenwen Ren F.Richard Yu the School of National Defence Science and Technology Southwest University of Science and TechnologyMianyang 621010China the School of National Defence Science and Technology Southwest University of Science and TechnologyMianyang 621010 the Guangxi Key Laboratory of Machine Vision and Intelligent Control Wuzhou UniversityWuzhou 543002 the Guangdong Laboratory of Artificial Intelligence and Digital Economy(SZ) Shenzhen 518060China

Dear Editor,This letter proposes a parameter-free multiple kernel clustering(MKC)method by using shifted Laplacian *** MKC can effectively cluster nonlinear data,but it faces two main challenges:1)As an unsupervised method,it is up against parameter problems which makes the parameters intractable to tune and is unfeasible in real-life applications;2)Only considers the clustering information,but ignores the interference of noise within Laplacian.

关键词： parameter letter Parameter

Population life tables for the invasive fall armyworm,Spodoptera frugiperda fed on major oil crops planted in China

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Journal of Integrative Agriculture 2021年第3期20卷 745-754页

作者： HE Li-mei wu Qiu-lin GAO xi-wu wu Kong-ming State Key Laboratory for Biology of Plant Diseases and Insect Pests Institute of Plant ProtectionChinese Academy of Agricultural SciencesBeijing 100193P.R.China College of Plant Protection China Agricultural UniversityBeijing 100193P.R.China

The fall armyworm(FAW),Spodoptera frugiperda,is a newly invasive,widespread agricultural pest in *** the suitability of the main field crops in Chinese agricultural system as host for this polyphagous herbivore is especially important for making control ***,after FAWs were fed three important oil-bearing crops(oilseed rape,soybean and sunflower)planted in China and resultant population parameters were compared using the age-stage,two-sex life table method,survival of larvae on soybean was significantly lower than that on oilseed rape and *** duration of larvae on soybean was also the longest(23.3 days).The highest pupation rate was recorded on *** highest pupal mass(0.19 g)was attained on oilseed rape,significantly higher than on the other host plants;the lowest mass was on soybean(0.15 g).On soybean,oilseed rape and sunflower,respectively,the average generation period was 42.21,39.10 and 40.44 d;the intrinsic rate of increase(r)was 0.0844,0.1041 and 0.1134;the finite rate of increase(λ)was 1.0881,1.1098 and *** the most suitable host plant overall was sunflower,*** completed development and increased its population on all three host ***,soybean,oilseed rape and sunflower were all suitable for FAW,and population monitoring and management of FAW in these crops should be increased.

关键词： developmental duration fecundity life history oil-bearing crops biology invasion biology

Effects of hydraulic retention time, temperature, and effluent recycling on efficiency of anaerobic filter in treating rural domestic wastewater

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Water Science and Engineering 2014年第2期7卷 168-182页

作者： John Leju Celestino LADU xi-wu Lü School of Energy and Environment Southeast University College of Natural Resources and Environmental Studies University of Juba

With rural population expansion and improvement of the socio-economic standard of living, treatment of rural domestic wastewater has rapidly become a major aspect of environmental concern. Selection of a suitable method for treatment of rural domestic wastewater depends on its efficiency, simplicity, and cost-effectiveness. This study investigated the effects of hydraulic retention time （HRT）, temperature, and effluent recycling on the treatment efficiency of an anaerobic filter （AF） reactor. The first round of experimental operations was run for three months with HRTs of one, two, and three days, temperatures of 18℃, 21℃, and 24℃, and no effluent recycling. The second round of experimental operations was conducted for another three months with HRTs of three and four days; temperatures of 30.67℃, 30.57℃, and 26.91 ℃ ; and three effluent recycling ratios of 1：1, 1：2, and 2：1. The first round of operations showed removal rates of 32% to 44% for COD, 30% to 35% for TN, 32% to 36% for NH4-N, 19% to 23% for NO3-N, and 12% to 22% for TE In the second round of operations, the removal rates varied from 75% to 81% for COD, 35% to 41% for TN, 31% to 39% for NH4-N, 30% to 34% for NO3-N, and 41% to 48% for TP. The average gas production rates were 6.72 L/d and 7.26 L/d for the first and second rounds of operations, respectively. The gas production rate increased in the second round of operations as a result of applied effluent recycling. The best removal efficiency was obtained for an optimum HRT of three days, a temperature of 30℃, and an effluent recycling ratio of 2：1. The results show that the removal efficiency of the AF reactor was affected by HRT, temperature, and effluent recycling.

关键词： anaerobic filter (AF) rural domestic wastewater hydraulic retention time (HRT) effluent recycling experimental operation