Green multi-functional monomer based ion imprinted polymers for selective removal of copper ions from aqueous solution

Wang, Liyan,Li, Jinhua,Wang, Jianan,Guo, Xiaotong,Wang, Xiaoyan,Choo, Jaebum,Chen, Lingxin Academic Press 2019 Journal of colloid and interface science Vol.541 No.-

<P><B>Abstract</B></P> <P>Green ion imprinted polymers (IIPs) were prepared in aqueous phase via the synergy of three functional monomers of low-cost eco-friendly gelatin (G), 8-hydroxyquinoline (HQ) and chitosan (C), namely G-HQ-C IIPs, and were applied as an effective and recyclable adsorbent to remove Cu(II) from aqueous solution. The as-prepared G-HQ-C IIPs were systematically characterized, and several major factors affecting adsorption capacity including solution pH, temperature and contact time were investigated in detail. The adsorption of Cu(II) on G-HQ-C IIPs followed the pseudo-second-order kinetic and Langmuir isotherm models, and the adsorption capacity increased with temperature increase. Moreover, the maximum adsorption capacities of G-HQ-C IIPs toward Cu(II) reached up to 111.81 mg/g at room temperature, much higher than those of most of the reported adsorbents for Cu(II). The G-HQ-C IIPs displayed excellent selectivity against seven common divalent ions with selectivity coefficients above 18.71, as well as high anti-interference ability. Additionally, a good reusability was demonstrated without significant loss in adsorption capacity after at least ten cycles. The IIPs were applied to environmental water samples for selective removal of Cu(II) with satisfactory results. By replacing Cu(II) template by Cd(II), Hg(II) and Pb(II), respectively, the obtained three kinds of IIPs based on G-HQ-C presented convincing imprinting properties, and therefore the work could provide a simple and general imprinting strategy toward various concerned heavy metal ions through multi-point interactions from multiple functional monomers.</P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>

Fault Diagnosis Method Based on High Precision CRPF under Complex Noise Environment

Jinhua Wang,Jie Cao 한국정보처리학회 2020 Journal of information processing systems Vol.16 No.3

In order to solve the problem of low tracking accuracy caused by complex noise in the fault diagnosis ofcomplex nonlinear system, a fault diagnosis method of high precision cost reference particle filter (CRPF) isproposed. By optimizing the low confidence particles to replace the resampling process, this paper improvedthe problem of sample impoverishment caused by the sample updating based on risk and cost of CRPFalgorithm. This paper attempts to improve the accuracy of state estimation from the essential level of obtainingsamples. Then, we study the correlation between the current observation value and the prior state. By adjustingthe density variance of state transitions adaptively, the adaptive ability of the algorithm to the complex noisescan be enhanced, which is expected to improve the accuracy of fault state tracking. Through the simulationanalysis of a fuel unit fault diagnosis, the results show that the accuracy of the algorithm has been improvedobviously under the background of complex noise.

Synchronous Frequency Resonance of Virtual Synchronous Generators and Damping Control

Jinhua Wang,Yuxiang Wang,Yunjie Gu,Wuhua Li,Xiangning He 전력전자학회 2015 ICPE(ISPE)논문집 Vol.2015 No.6

The Virtual Synchronous Generator (VSG) is an effective solution for high-penetration renewable energy sources integrated into the power system. Although the VSG has a similar behavior as the conventional synchronous generator, the fast and flexible control capability of converters may give rise to some specific characteristics. In this paper, it is explained that flux dynamics may induce synchronous frequency resonance in VSGs, which possibly leads to power-angle oscillations. A precise small-signal model is established to investigate the synchronous frequency resonance phenomenon. Based on this model, two damping control methods are proposed, which suppress the resonance through increasing the virtual mechanical inertia or adding virtual electrical resistance. The effectiveness of the theoretical conclusions is verified by simulation and experimental results.

Development and Validation of the Humanistic Practice Ability of Nursing Scale

Jinhua Zhang,Xiaoyan Zhou,Hefang Wang,Yanyan Luo,Wei Li 한국간호과학회 2021 Asian Nursing Research Vol.15 No.2

Purpose The purpose of this study was to develop a Humanistic Practice Ability of Nursing (HPAN) scale adapted to China and validate its psychometric properties. Methods The original HPAN scale was revised through a literature review. Sixteen experts who met the inclusion criteria were consulted 2 rounds by the Delphi method. According to their suggestions and opinions, the structure, content, and semantics of each item of HPAN were modified, and a HPAN scale was preliminarily developed. The HPAN scale was validated through item analysis, exploratory factor analysis, convergent validity, and reliability. The data came from 406 first-class hospital nurses. Results A 5-dimension, 29-item HPAN scale demonstrated satisfactory fit with significant factor loadings. The split-half reliability coefficient of the scale was .98, the split-half reliability coefficient of each dimension was .86–.99, Cronbach's α coefficient was .96, and the Cronbach's α coefficient of each dimension was .87–.98. The model fit of the scale was good, and the items of the scale showed convergent and discriminant validity. Conclusion The HPAN scale indicated that the reliability and validity were good. It is easy to imply factors of HPAN. This scale can be used to assess the HPAN.

Genome-wide identification and expression analysis of the BTB domain-containing protein gene family in tomato

Jinhua Li,Xiaoxing Su,Yinlei Wang,Wei Yang,Yu Pan,Chenggang Su,Xingguo Zhang 한국유전학회 2018 Genes & Genomics Vol.40 No.1

BTB (broad-complex, tramtrack, and bric-abrac) family proteins are characterized by the presence of a protein–protein interaction BTB domain. BTB proteins have diverse functions, including transcriptional regulation, protein degradation, chromatin remodeling, and cytoskeletal regulation. However, little is known about this gene family in tomato (Solanum lycopersicum), the most important model plant for crop species. In this study, 38 BTB genes were identified based on tomato whole-genome sequence. Phylogenetic analysis of BTB proteins in tomato revealed that SlBTB proteins could be divided into at least 4 subfamilies. The SlBTB proteins contains 1–3 BTB domains, and several other types of functional domains, including KCTD (Potassium channel tetramerization domain-containing), the MATH (meprin and TRAF homology), ANK (Ankyrin repeats), NPR1 (nonexpressor of pathogenesis-related proteins1), NPH3 (Nonphototropic Hypocotyl 3), TAZ zinc finger, C-terminal Kelch, Skp1 and Arm (Armadillo/betacatenin- like repeat) domains are also found in some tomato BTB proteins. Moreover, their expression patterns in tissues/ stages, in response to different abiotic stress treatments and hormones were also investigated. This study provides the first comprehensive analysis of BTB gene family in the tomato genome. The data will undoubtedly be useful for better understanding the potential functions of BTB genes, and their possible roles in mediating hormone cross-talk and abiotic stress in tomato as well as in some other relative species.

Improved Sliding Shapes for Instance Segmentation of Amodal 3D Object

( Jinhua Lin ),( Yu Yao ),( Yanjie Wang ) 한국인터넷정보학회 2018 KSII Transactions on Internet and Information Syst Vol.12 No.11

State-of-art instance segmentation networks are successful at generating 2D segmentation mask for region proposals with highest classification score, yet 3D object segmentation task is limited to geocentric embedding or detector of Sliding Shapes. To this end, we propose an amodal 3D instance segmentation network called A3IS-CNN, which extends the detector of Deep Sliding Shapes to amodal 3D instance segmentation by adding a new branch of 3D ConvNet called A3IS-branch. The A3IS-branch which takes 3D amodal ROI as input and 3D semantic instances as output is a fully convolution network(FCN) sharing convolutional layers with existing 3d RPN which takes 3D scene as input and 3D amodal proposals as output. For two branches share computation with each other, our 3D instance segmentation network adds only a small overhead of 0.25 fps to Deep Sliding Shapes, trading off accurate detection and point-to-point segmentation of instances. Experiments show that our 3D instance segmentation network achieves at least 10% to 50% improvement over the state-of-art network in running time, and outperforms the state-of-art 3D detectors by at least 16.1 AP.

Hyperglycemia-Suppressed SMARCA5 Disrupts Transcriptional Homeostasis to Facilitate Endothelial Dysfunction in Diabetes

Ju Wang,Hui Zhou,Jinhua Shao,Shu Zhang,Jing Jin 대한당뇨병학회 2023 Diabetes and Metabolism Journal Vol.47 No.3

Background: Dysfunction of vascular endothelial cells (ECs) plays a central role in the pathogenesis of cardiovascular complications in diabetes. SWI/SNF-related matrix-associated actin-dependent regulator of chromatin subfamily A member 5 (SMARCA5) is a key regulator of chromatin structure and DNA repair, but its role in ECs remains surprisingly unexplored. The current study was designed to elucidate the regulated expression and function of SMARCA5 in diabetic ECs.Methods: SMARCA5 expression was evaluated in ECs from diabetic mouse and human circulating CD34⁺ cells using quantitative reverse transcription polymerase chain reaction and Western blot. Effects of SMARCA5 manipulation on ECs function were evaluated using cell migration, <i>in vitro</i> tube formation and <i>in vivo</i> wound healing assays. Interaction among oxidative stress, SMARCA5 and transcriptional reprogramming was elucidated using luciferase reporter assay, electrophoretic mobility shift assay and chromatin immunoprecipitation.Results: Endothelial SMARCA5 expression was significantly decreased in diabetic rodents and humans. Hyperglycemia-suppressed SMARCA5 impaired EC migration and tube formation <i>in vitro</i>, and blunted vasculogenesis <i>in vivo</i>. Contrarily, overexpression of SMARCA5 <i>in situ</i> by a SMARCA5 adenovirus-incorporated hydrogel effectively promoted the rate of wound healing in a dorsal skin punch injury model of diabetic mice. Mechanistically, hyperglycemia-elicited oxidative stress suppressed <i>SMARCA5</i> transactivation in a signal transducer and activator of transcription 3 (STAT3)-dependent manner. Moreover, SMARCA5 maintained transcriptional homeostasis of several pro-angiogenic factors through both direct and indirect chromatin-remodeling mechanisms. In contrast, depletion of SMARCA5 disrupted transcriptional homeostasis to render ECs unresponsive to established angiogenic factors, which ultimately resulted in endothelial dysfunction in diabetes.Conclusion: Suppression of endothelial SMARCA5 contributes to, at least in part, multiple aspects of endothelial dysfunction, which may thereby exacerbate cardiovascular complications in diabetes.

Improved Received Signal Strength Ratio Based High Accuracy Indoor Visible Light Positioning Scheme

Zhijie Luo,JinHua Wang,WenWen Zhao,JianKun Luo,WeiNan Zhang,GuoFu Zhou 보안공학연구지원센터 2016 International Journal of Smart Home Vol.10 No.12

With the increasingly development of Light-emitting Diode (LED) lighting, in this paper, we proposed an Indoor Visible Light Positioning (VLP) Scheme by using visible LED lights for accurate localization. The basic idea of the position scheme is to improve received signal strength ratio algorithm. Received signal strength ratio (RSSR) is the relative ratio of optical powers detected between each LED and optical receiver. In this paper, we introduce concept of multiple LEDs selection to improve RSSR positioning algorithm. By three LEDs are reasonably selected from the multiple LEDs deployed in the room, the positioning accuracy of RSSR is improved. The system can be employed easily because it does not require additional sensors and occlusion problem in visible light would be alleviated. In addition, we performed the simulation experiments, and confirmed the feasibility of our proposed method.

A Study on the Development Strategies of TCM Health Tourism in Shandong Province

Li Ping,Wang Rong,Duan Jinhua 한중경제문화학회 2019 한중경제문화연구 Vol.12 No.-

Novel Flower-Like CuO/N-rGO as Enhanced Electrocatalyst for Oxygen Reduction Reaction

Lijuan Zhang,Jinhua Lu,Jianfeng Wei,Yan Wang 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2019 NANO Vol.14 No.10

Flower-like copper oxide (CuO)/nitrogen-doped reduced graphene oxide (N-rGO) was synthesized through a one-pot microwave hydrothermal method by using polyvinylpyrrolidone (PVP) as surfactant. In the process, in situ formation of nanomaterial CuO, reduction of graphene oxide and doping of nitrogen species occurred simultaneously in urea solution. The structural and surface properties of the material were investigated by field emission scanning electron microscopy (FESEM) and transmission electron microscopies (TEM), the energy dispersive spectroscopic (EDS) and powder X-ray diffraction (XRD). This showed the flower-like CuO with an interconnected architecture was successfully uniformed and grown on the surface of N-rGO. Moreover, the surfactant PVP and urea were found to be the key factors to control the morphology of the CuO nanostructure. Electrochemical investigations indicated that the CuO/N-rGO composite exhibited a significantly enhanced ORR activity in comparison to pure CuO and N-rGO in an alkaline solution. The enhancement in ORR activity of CuO/N-rGO composite can be attributed to the synergistic effects of good electron transport from N-rGO as well as abundance of exposed catalytic sites and meso/macroporosity from CuO nanostructures.