Recent developments in the utilization of modified graphene oxide to adsorb dyes from water: A review

Tianqi Liu,Chukwunonso O. Aniagor,Marcel I. Ejimofor,Matthew C. Menkiti,Yakubu M. Wakawa,Jie Li,Rachid Ait Akbour,Pow-Seng Yap,Sie Yon Lau,Jaison Jeevanandam 한국공업화학회 2023 Journal of Industrial and Engineering Chemistry Vol.117 No.-

Recently, there is an increasing concern on dye contamination in the aquatic environment. Elimination ofdye contaminants has gained significant attention among researchers due to their potential deleteriousrisk to human health and the ecosystem. Among the treatment technologies for dye removal from thewater system, the utilization of modified graphene oxide as an adsorbent has garnered increasingresearch interest due to its superior dye adsorption capacity. Hence, this review aims to comprehensivelypresent the classifications and hazards of dyes, types of preparation methods for modified graphene oxideand recent developments in the employment of modified graphene oxide to adsorb dyes from water. Additionally, the primary objective of this review is to emphasize on adsorption performances of modifiedgraphene oxide for dye removal in an aqueous medium, specifically focusing on the adsorption kinetics,adsorption isotherms and the effect of experimental parameters. Furthermore, the pertinentchallenges, tremendous opportunities and the future outlook of modified graphene oxide to be employedas a potential aqueous dye adsorbent were also discussed.

Resilient Distributed Filtering for Discrete Time-varying Systems with Missing Measurements and Stochastic Uncertainties

Tianqi Liu,Dongyan Chen,Jun Hu 제어·로봇·시스템학회 2021 International Journal of Control, Automation, and Vol.19 No.5

In this paper, the resilient distributed filtering problem is addressed for discrete stochastic uncertain timevarying systems with missing measurements and stochastic uncertainties over wireless sensor networks. Some random variables governed by the Bernoulli distribution are used to model the missing measurements phenomenon of each sensor node. In addition, the stochastic uncertainties are characterized by the multiplicative noises and stochastic nonlinearities. By using the variance-constrained method, an appropriate filter gain is selected to minimize thetrace of the upper bound for the filter error covariance. Moreover, the resilient distributed filtering algorithm isdesigned and a new matrix simplification technique is introduced to deal with the sparsity of sensor networks topology. Finally, both the feasibility and effectiveness of the resilient distributed filtering algorithm are verified by anumerical simulation.

Neural Network Based Terminal Iterative Learning Control for Tracking Run-Varying ReferencePoint With Initial State Variance

Tianqi Liu,Danwei Wang,Ronghu Chi 제어로봇시스템학회 2013 제어로봇시스템학회 국제학술대회 논문집 Vol.2013 No.10

In this paper, a neural network based terminal iterative learning control(NNTILC) method is proposed for a class of discrete time uncertain linear systems to track run-varying reference point The zero error initial condition in most of the previous work on terminal iterative learning control(TILC) is removed by the use of neural network. A radial basis function (RBF) neural network is developed to approximate the effect of initial state and reference on terminal output iteratively. By involving these information as well as the reference signal in the control scheme, the proposed NNTILC can drive the system to track run-varying reference point fast and precisely beyond the initial state variance and reference change. Stability and convergence of this approach are proved and computer simulation results are provided to confirm its effectiveness further.

Cold-Stress Response of Probiotic Lactobacillus plantarum K25 by iTRAQ Proteomic Analysis

Shaoli Liu,Yimiao Ma,Yi Zheng,Wen Zhao,Xiao Zhao,Tianqi Luo,Jian Zhang,Zhen-Nai Yang 한국미생물·생명공학회 2020 Journal of microbiology and biotechnology Vol.30 No.2

To understand the molecular mechanism involved in the survivability of cold-tolerant lactic acid bacteria was of great significance in food processing, since these bacteria play a key role in a variety of low-temperature fermented foods. In this study, the cold-stress response of probiotic Lactobacillus plantarum K25 isolated from Tibetan kefir grains was analyzed by iTRAQ proteomic method. By comparing differentially expressed (DE) protein profiles of the strain incubated at 10oC and 37oC, 506 DE proteins were identified. The DE proteins involved in carbohydrate, amino acid and fatty acid biosynthesis and metabolism were significantly down-regulated, leading to a specific energy conservation survival mode. The DE proteins related to DNA repair, transcription and translation were up-regulated, implicating change of gene expression and more protein biosynthesis needed in response to cold stress. In addition, two-component system, quorum sensing and ABC (ATP-binding cassette) transporters also participated in cell cold-adaptation process. These findings provide novel insight into the cold-resistance mechanism in L. plantarum with potential application in low temperature fermented or preserved foods.

Identification of onlline users' type based on clustering

Geng Peng,Tianqi Li,Fan Liu,Ying Liu,Benfu Lv 인하대학교 정석물류통상연구원 2009 인하대학교 정석물류통상연구원 학술대회 Vol.2009 No.10

User’s browsing on shopping websites is a complicated process which is affected by many factors. The users with different purposes and backgrounds tend to show different behavioral characteristics and shopping intentions, which areal hidden in weblog data of the sites. In this paper, we firstly introduce the method of data mining to cluster a month weblog data of a publishing house website, and then identify four types of online users: purchasing, browsing, information accumulating, and superficiality. Finally, we give an explanation for each type user in detail. The study of this paper could be used to improve marketing plans and shopping experiences of sites.

Longitudinal Dynamic End Effect of Single-Sided Linear Induction Motor for Medium–Low Speed Maglev

Wang Ying,Liu Xuelong,Lu Weiguo,Wen Tianqi,Yu Fan,Wu Qian 대한전기학회 2021 Journal of Electrical Engineering & Technology Vol.16 No.4

The Short Primary Single-sided Linear Induction Motor (SLIM) applied in medium–low maglev vehicle has end eff ect that will cause a signifi cant reduction of train thrust. This paper analyzes the relationship between the Longitudinal Dynamic End Eff ect (LDEE) and the speed of SLIM. It is concluded that LDEE increases with the motor speed. The LDEE at motor’s exit area is called tailing eff ect. We take advantage of the tailing eff ect between adjacent SLIMs to make the air-gap magnetic fi eld of these motors continuous by adjusting their intervals and excitation phase diff erence. The several SLIM on the same side of the vehicle is equivalent to a “whole motor” with overall one entry area and one exit area. This method can reduce the resistance of the whole vehicle running at high speed, which can provide a new solution for the design of high-speed SLIM applied in Maglev

Mast Cells Tryptase Promotes Intestinal Fibrosis in Natural Decellularized Intestinal Scaffolds

Wan Jian,Wu Tianqi,Liu Ying,Yang Muqing,Fichna Jakub,Guo Yibing,Yin Lu,Chen Chunqiu 한국조직공학과 재생의학회 2022 조직공학과 재생의학 Vol.19 No.4

BACKGROUND: Standard two-dimensional (2D) culture has confirmed the mechanism of mast cells (MCs) in the pathogenesis of inflammatory bowel disease (IBD), but the regulation of signaling responses of MCs may well differ in three-dimensional (3D) microenvironments. The aim of the study was to develop a 3D culture model based on decellularized intestinal scaffolds (DIS) and verify how MCs influenced fibroblasts phenotype in the 3D model. METHODS: DIS were achieved using the detergent technique and extracellular matrix (ECM) components were verified by histologic analysis, quantification and scanning electron microscope. After human colon fibroblasts recellularized into the scaffolds and activated by MCs tryptase and TGFb1, the changes in genes and signaling pathways during fibroblasts activation in 3D were studied and compared with the changes in 2D cell culture on plastic plates. RESULTS: Decellularization process effectively removed native cell debris while retaining natural ECM components and structure. The engrafted fibroblasts could penetrate into the scaffolds and maintain its phenotype. No matter whether fibroblasts were cultured in 2D or 3D, MCs tryptase and transforming growth factor b1 (TGF-b1) could promote the differentiation of fibroblasts into fibrotic-phenotype myofibroblasts through Akt and Smad2/3 signaling pathways. Furthermore, the pro-collagen1a1 and fibronectin synthesis of myofibroblasts in 3D was higher than in 2D culture. CONCLUSION: Our results demonstrated that the DIS can be used as a bioactive microenvironment for the study of intestinal fibrosis, providing an innovative platform for future intestinal disease modeling and screening of genes and signaling pathways.

A New Hybrid Approach of Clustering Based Probabilistic Decision Tree to Forecast Wind Power on Large Scales

He Chuan,Mansoor Khan,Liu Tianqi,Ullah Farhan 대한전기학회 2021 Journal of Electrical Engineering & Technology Vol.16 No.2

The wind power forecasting plays a vital role in renewable energy production. Due to the dynamic and uncertain behavior of wind, it is really hard to catch the actual features of wind for accurate forecasting measures. The patchy and instability of wind leading to the assortment of training samples have a main infl uence on the forecasting accuracy. For this purpose, an accurate forecasting method is needed. This paper proposed a new hybrid approach of clustering based probabilistic decision tree to forecast wind power effi ciently. The collected data is screened for noisy information and selected those variables which mainly contribute in accurate predictions. Then, the wind data is normalized using mean and standard deviation to extract playing level fi elds for each feature. Based on the similarity of the data behavior, the K-means clustering algorithm is applied to classify the samples into diff erent groups which contain the historical wind data. Further, the Naïve Bayes (NB) tree is proposed to extract probabilities for each feature in the clusters. The NB tree is a hybrid model of C4.5 and NB methods that successfully applied on three big real-world wind datasets (hourly, monthly, yearly) collected from National Renewable Energy Laboratory (NREL). The forecasting accuracy exposed that the proposed method could forecast an accurate wind power from hours to years’ data. Comprehensive comparisons are made of the proposed method with the most popular state of the art techniques which show that this method provides more accurate prediction results.

Manufacture and Characterization on Three-Dimensional Random Resonators of Porous Silicon/TiO2 Nanowires for Continuous Light Pumping Lasing of Perovskite Quantum Dots

Yining Mu,Tuo Zhang,Tianqi Chen,Fanqi Tang,Jikai Yang,Chunyang Liu,Zhangxiaoxiong Chen,Yiming Zhao,Peng Du,Haibo Fan,Yan Zhu,Guozhen Liu,Ping Li 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2020 NANO Vol.15 No.03

In recent years, all inorganic bismuth lead-halide perovskite nanocrystals [CsPbX3 (X=Cl, Br, I)] have received extensive attention due to their high performance in fluorescence quantum yield, narrow emission spectrum, and adjustable emission range. However, the disadvantages of high cost and poor stability have greatly limited the development prospects of the material. Here, in order to develop a perovskite quantum dot lasing cavity with high chemical stability, high quality factor and low fabrication cost, we have successfully fabricated a 3D random cavity device based on porous silicon/TiO2 nanowires. A TiO2 nanowire is grown on the porous silicon to form a 3D resonant cavity, and a perovskite quantum dot is spin-coated on the surface of the 3D resonant cavity to form a novel 3D complex film. The novel structure enhances the chemical stability and lasing quality factor of the resonant cavity while the fluorescence generated by the large quantum dots in the spatial interference structure constitutes the feedback loop, which will provide favorable support for the development of information optics.

Design and Research on the Special System for High Efficient Manufacturing of Blisk Based on UG

Yaonan Cheng,Rui Guan,Diange Zuo,Tianqi Chen,Li Liu 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.10

As one of the most important parts of aeroengine, blisk has complex structure and its material is titanium alloy hard to machine. It results in some difficulties in modeling and NC programming. In this paper, from the perspective of application, the secondary development technology of UG/Open Grip is used to design and develop the CAD/CAM module of blisk after analyzing structure feature and milling process of blisk. Firstly, it completes parametric modeling of blisk by establishing CAD module through the optimization of the original data points in NUBRS curve fitting and node interpolation technology; secondly, the inner and outer tolerance algorithm are applied to calculate the cutting step, and the row spacing is determined based on constant scallop height. Besides, tool axis vector is defined. All of these things are done to complete the establishment of the CAM module and realize trajectory planning of semi-finish machining of the blisk. It greatly improves the efficiency of programming and machining in blisks; finally, the module of blisk designed is used to model and program in the machining experiments in five axis machining center to verify correctness and reliability of the system. The results show that this module greatly improves manufacturing efficiency of blisk.