Enhanced Selectivity for Oriented Catalyzing Tetracycline by the Functional Inorganic Imprinted ZnFe2O4@Ag3PO4/SiO2 Photocatalyst with Excellent Stability

Ziyang Lu,Zehui Yu,Minshan Song,XINLIN LIU,Yang Liu,Yongsheng Yan,Pengwei Huo,Hongjun Dong,Fei Chen,Song Han 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2019 NANO Vol.14 No.1

A novel functional inorganic imprinted ZnFe2O4@Ag3PO4/SiO2 photocatalyst was synthesized by a facile sol–gel method combined with the surface imprinting technique, which possessed excellent stability. By optimizing the amount of materials, we determine the preferable addition amounts of tetraethoxysilane (TEOS) and tetracycline to be 0.06 mL and 0.06 g, respectively. This as-prepared functional inorganic imprinted ZnFe2O4@Ag3PO4/SiO2 photocatalyst was proved to not only exhibit high photocatalytic activity (the photodegradation rate was 61.52% under the simulated sunlight irradiation of 60 min), but also possess a strong oriented ability to selectively recognize and photocatalyze tetracycline (the coeficient of selectivity (k selectivity) was 5.14 for ciprofloxacin and 3.63 for gatifloxacin). Moreover, the functional inorganic imprinted ZnFe2O4@Ag3PO4/SiO2 photocatalyst prepared with SiO2 as the inorganic imprinted layer has good stability and can be recycled many times. This work not only puts forward a novel design idea of functional semiconductor materials but also is expected to be widely applied to the oriented catalysis for a target substance according to the practical requirement.

Calculating Method Study and Parameter Analysis of Slender LCFST Columns Under Axial Loading

Ting Zhou,Ziyang Ren,Baoqi Jiang,Minyang Xu,Zhiyong Lei,Zhi-Hua Chen 한국강구조학회 2019 International Journal of Steel Structures Vol.19 No.5

L-shaped columns composed of concrete-fi lled steel tubes (LCFST columns) connected by steel plates, which are important component to make sure the mono-column working together, were investigated under axial loading experiment with diff erent width and thickness of connection plates. The relationships between load and longitudinal displacement, lateral displacement, longitudinal strains and transverse strains as well as failure mode are presented. Load carrying capacity of LCFST columns increased with the width and thickness of the connection plates increasing. In addition, the integrity of the specimen was improved with increase of thickness and decrease of width of the connection plates. Failure modes obtained from the fi nite element model were consistent with the phenomenon observed in the test. Besides, the parameters of slenderness ratio, dimensions of connection plate, and transverse stiff ener spacing were analyzed. Finally, the calculating method of yield bearing capacity of axial compression was proposed based on the former analysis.

Effect of Polymer Molecular Weight on Morphology and Charge Transport of Small‑Molecular Organic Semiconductors

Zhengran He,Ziyang Zhang,Sheng Bi,Jihua Chen 대한금속·재료학회 2020 ELECTRONIC MATERIALS LETTERS Vol.16 No.5

The utilization of polymer additives provides an intriguing pathway to tune the electrical performance of solution-grown,small-molecular organic semiconductors. In this study, we report the effect of different polymer molecular weight on thecrystal growth, phase segregation and charge transport of the organic semiconductors. A semicrystalline polymer additivepolyethylene oxide (PEO) with 8000 and 100 K molecular weight was blended with a well-known organic semiconductor6,13-bis(triisopropylsilylethynyl) pentacene (TIPS pentacene). Distinctively different thin film morphology of the resultantTIPS pentacene/PEO blend film was identified and quantitatively characterized. In particular, PEO with a higher molecularweight of 100 K exerted a stronger effect on enhancing film formation, crystal coverage and likely mechanical properties,whereas PEO with an 8000 molecular weight yielded more superior crystal alignment and larger crystal sizes. Bottom-gate,top-contact TIPS pentacene/PEO OTFTs were fabricated to test the charge transport, which indicated loading the PEOpolymer with molecular weight of 8000 demonstrated a five-fold enhancement in the extracted hole mobilities as comparedto the 100 K counterpart. This work of using polymer additives with different molecular weight can be used to tune thecrystallization of other solution-processed high-mobility small-molecular organic semiconductors.

Microstructure and Properties of 2Cr13-xMo Stainless Steels Fabricated by Direct Laser Deposition

Jing Liang,Ziyang Lin,Xiuyuan Yin,Suiyuan Chen,Changsheng Liu,Ruihong Chai,Hongwei Zhang,Guangquan Tang,Kun Tian 대한금속·재료학회 2022 METALS AND MATERIALS International Vol.28 No.1

In this paper, 2Cr13 stainless steels with diferent Mo contents (x=0 wt%, 0.5 wt%, 1.0 wt%, 1.5 wt%, 2.0 wt%) were fabricated by Direct Laser Deposition (DLD) technology. The efects of Mo element on the microstructure evolution and comprehensive properties such as corrosion resistance and wear resistance of 2Cr13 stainless steel were investigated in detail. The results showed that the microstructure for the DLD 2Cr13 stainless steel was mainly composed of martensite, ferrite,and a small amount of Mo2C and Cr23C6 carbides. With the content of Mo increased from 0.5 to 1.5 wt%, the martensiticmicrostructure was refned and more dispersed Mo2C and Cr23C6 carbides were formed. The average microhardness andcorrosion resistance of the DLD 2Cr13-xMo were increased with the Mo content increased from 0 to 1.0 wt%, and thendecreased when the Mo content exceeded 1.0 wt%. For the DLD 2Cr13-1.0 wt% Mo, the average microhardness reachedup to 620 HV0.2, and the highest corrosion resistance (self-corrosion potential − 0.34 V) was obtained, in which the selfcorrosion potential was 0.05 higher than that of DLD 2Cr13 stainless steel. The wear resistance of the DLD 2Cr13-xMogradually increased with the increase of the Mo, the wear mass loss of DLD 2Cr13-xMo (x=1.0 wt%) was only 37% thatof DLD 2Cr13 stainless steel.

Fast Result Enumeration for Keyword Queries on XML Data

Zhou, Junfeng,Chen, Ziyang,Tang, Xian,Bao, Zhifeng,Ling, TokWang Korean Institute of Information Scientists and Eng 2012 Journal of Computing Science and Engineering Vol.6 No.2

In this paper, we focus on efficient construction of tightest matched subtree (TMSubtree) results, for keyword queries on extensible markup language (XML) data, based on smallest lowest common ancestor (SLCA) semantics. Here, "matched" means that all nodes in a returned subtree satisfy the constraint that the set of distinct keywords of the subtree rooted at each node is not subsumed by that of any of its sibling nodes, while "tightest" means that no two subtrees rooted at two sibling nodes can contain the same set of keywords. Assume that d is the depth of a given TMSubtree, m is the number of keywords of a given query Q. We proved that if d ${\leq}$ m, a matched subtree result has at most 2m! nodes; otherwise, the size of a matched subtree result is bounded by (d - m + 2)m!. Based on this theoretical result, we propose a pipelined algorithm to construct TMSubtree results without rescanning all node labels. Experiments verify the benefits of our algorithm in aiding keyword search over XML data.

Fast Result Enumeration for Keyword Queries on XML Data

Junfeng Zhou,Ziyang Chen,Xian Tang,Zhifeng Bao,TokWang Ling 한국정보과학회 2012 Journal of Computing Science and Engineering Vol.6 No.2

In this paper, we focus on efficient construction of tightest matched subtree (TMSubtree) results, for keyword queries on extensible markup language (XML) data, based on smallest lowest common ancestor (SLCA) semantics. Here, “matched” means that all nodes in a returned subtree satisfy the constraint that the set of distinct keywords of the subtree rooted at each node is not subsumed by that of any of its sibling nodes, while “tightest” means that no two subtrees rooted at two sibling nodes can contain the same set of keywords. Assume that d is the depth of a given TMSubtree, m is the number of keywords of a given query Q. We proved that if d ≤ m, a matched subtree result has at most 2m! nodes; otherwise, the size of a matched subtree result is bounded by (d ? m + 2)m!. Based on this theoretical result, we propose a pipelined algorithm to construct TMSubtree results without rescanning all node labels. Experiments verify the benefits of our algorithm in aiding keyword search over XML data.

Depth tracking of occluded ships based on SIFT feature matching

Yadong Liu,Yuesheng Liu,Ziyang Zhong,Yang Chen,Jinfeng Xia,Yunjie Chen 한국인터넷정보학회 2023 KSII Transactions on Internet and Information Syst Vol.17 No.4

Multi-target tracking based on the detector is a very hot and important research topic in target tracking. It mainly includes two closely related processes, namely target detection and target tracking. Where target detection is responsible for detecting the exact position of the target, while target tracking monitors the temporal and spatial changes of the target. With the improvement of the detector, the tracking performance has reached a new level. The problem that always exists in the research of target tracking is the problem that occurs again after the target is occluded during tracking. Based on this question, this paper proposes a DeepSORT model based on SIFT features to improve ship tracking. Unlike previous feature extraction networks, SIFT algorithm does not require the characteristics of pre-training learning objectives and can be used in ship tracking quickly. At the same time, we improve and test the matching method of our model to find a balance between tracking accuracy and tracking speed. Experiments show that the model can get more ideal results.

Ship Number Recognition Method Based on An improved CRNN Model

Wenqi Xu,Yuesheng Liu,Ziyang Zhong,Yang Chen,Jinfeng Xia,Yunjie Chen 한국인터넷정보학회 2023 KSII Transactions on Internet and Information Syst Vol.17 No.3

Text recognition in natural scene images is a challenging problem in computer vision. The accurate identification of ship number characters can effectively improve the level of ship traffic management. However, due to the blurring caused by motion and text occlusion, the accuracy of ship number recognition is difficult to meet the actual requirements. To solve these problems, this paper proposes a dual-branch network based on the CRNN identification network. The network couples image restoration and character recognition. The CycleGAN module is used for blur restoration branch, and the Pix2pix module is used for character occlusion branch. The two are coupled to reduce the impact of image blur and occlusion. Input the recovered image into the text recognition branch to improve the recognition accuracy. After a lot of experiments, the model is robust and easy to train. Experiments on CTW datasets and real ship maps illustrate that our method can get more accurate results.

Different divergence events for three pairs of PEBPs in Gossypium as implied by evolutionary analysis

Youjun Lu,Wei Chen,Lanjie Zhao,Jinbo Yao,Yan Li,Weijun Yang,Ziyang Liu,Yongshan Zhang,Jie Sun 한국유전학회 2019 Genes & Genomics Vol.41 No.4

Introduction The phosphatidylethanolamine-binding protein (PEBP) gene family plays a crucial role in seed germination, reproductive transformation, and other important developmental processes in plants, but its distribution in Gossypium genomes or species, evolutionary properties, and the fates of multiple duplicated genes remain unclear. Objectives The primary objectives of this study were to elucidate the distribution and characteristics of PEBP genes in Gossypium, as well as the evolutionary pattern of duplication and deletion, and functional differentiation of PEBPs in plants. Methods Using the PEBP protein sequences in Arabidopsis thaliana as queries, blast alignment was carried out for the identification of PEBP genes in four sequenced cotton species. Using the primers designed according to the PEBP genome sequences, PEBP genes were cloned from 15 representative genomes of Gossypium genus, and the gene structure, CDS sequence, protein sequence and properties were predicted and phylogenetic analysis was performed. Taking PEBP proteins of grape as reference, grouping of orthologous gene, analysis of phylogeny and divergence of PEBPs in nine species were conducted to reconstruct the evolutionary pattern of PEBP genes in plants. Results We identified and cloned 160 PEBPs from 15 cotton species, and the phylogenetic analysis showed that the genes could be classified into the following three subfamilies: MFT-like, FT-like and TFL1-like. There were eight single orthologous group (OG) members in each diploid and 16 double OG members in each tetraploid. An analysis of the expression and selective pressure indicated that expression divergence and strong purification selection within the same OG presented in the PEBP gene family. Conclusion An evolutionary pattern of duplication and deletion of the PEBP family in the evolutionary history of Gossypium was suggested, and three pairs of genes resulted from different whole-genome duplication events.

Crystal growth of small-molecule organic semiconductors with nucleation additive

He Zhengran,Zhang Ziyang,Asare-Yeboah Kyeiwaa,Bi Sheng,Chen Jihua,Li Dawen 한국물리학회 2021 Current Applied Physics Vol.21 No.-

In this study, we employ a nucleation additive 4-octylbenzoic acid (OBA) with an optimized solvent evaporation method to regulate crystal orientation and grain width of small-molecule organic semiconductors. When 6,13-bis (triisopropylsilylethynyl) pentacene (TIPS pentacene) was utilized as a benchmark material to mix with the additive, a self-assembled OBA interfacial layer was formed and promoted uniform deposition of nucleation seeds. As a result, the TIPS pentacene/OBA blend crystalline film exhibited crystal alignment in long range order, attributing to a 11-fold reduction of the crystal misorientation angle and a 4-fold increase of the grain width. We further discussed the important correlation between the effective hole mobility, grain boundaries, grain width and length, and nucleation sites. Organic thin film transistors were fabricated to test charge transport, yielding a hole mobility of up to 0.17 cm2/V. This work provides a new pathway to modulate the nucleation and crystallization events of organic semiconductors, and can potentially be applied to optimize the thin film morphology and electrical performance of organic semiconducting materials in general.