Preparation and photocatalytic activity of a novel BiOCl/g‑C3N4 thin film prepared via spin coating

Wei‑Qin Cai,De‑Fang Zhang,Feng‑Jun Zhang,Won‑Chun Oh 한국세라믹학회 2020 한국세라믹학회지 Vol.57 No.3

Novel BiOCl/g-C3N4 thin film photocatalysts were synthesized via a simple two-step spin coating method. The prepared photocatalysts were characterized by X-ray diffraction, scanning electron microscopy, and ultraviolet–visible spectroscopy. The photocatalytic activity of the thin films for the degradation of rhodamine B under visible light (λ ≥ 400 nm) was investigated. The results showed that the BiOCl/g-C3N4 thin film photocatalysts exhibited significantly improved visible light absorption compared to the pure BiOCl thin film. The BiOCl/g-C3N4 film showed a rhodamine B degradation efficiency of 81.0% under visible light, which is 23.8 times higher than that of the pure BiOCl thin film. This excellent photocatalytic activity of the BiOCl/g-C3N4 film can be attributed to its efficient electron–hole separation due to the presence of g-C3N4.

Identification of candidate odorant‐degrading enzyme genes in the antennal transcriptome of Aphidius gifuensis

Kang Zhi‐Wei,Liu Fang‐Hua,Xu Yong‐Yu,Cheng Jia‐Hui,Lin Xiao‐Li,Jing Xiang‐Feng,Tian Hong‐Gang,Liu Tong‐Xian 한국곤충학회 2021 Entomological Research Vol.51 No.1

Odorant‐degrading enzymes (ODEs) have been found in insect antennae and play a critical role in signal chemical degradation once the message is conveyed. Significant progress has been made in characterizing ODEs in a variety of pests but very little is known in their natural enemies. We have carried out an antennae‐ and sex‐specific transcriptome of Aphidius gifuensis, a natural enemy of aphid, to identify the candidate ODEs. Based on the antennae‐ and sex‐specific transcriptome, a total of 100 putative ODEs were identified including one aldehyde oxidase (AOX), four alcohol dehydrogenases (ADs), eight UDP‐glucuronosyltransferases (UGTs), 45 cytochrome P450 (P450s), nine glutathione S‐transferases (GSTs) and 40 carboxylesterases (CCEs or CXEs). Additionally, we used RT‐qPCR to determine the expression profiles of these genes in tissues of both sexes. Based on the phylogenic analysis and tissue‐expression patterns, AgifEstE4, AgifCXE3, AgifCCE4, AgifCCE7, and AgifCCE18 were suggested as key ODEs in A. gifuensis. In addition, the female or male specifically enriched genes, such as AgifCCE17, AgifEstB1, AgifCYP18a1, AgifUGT2C2, were also considered to involve in the chemosensory processing in A. gifuensis. This study not only identified the candidate ODEs in A. gifuensis but also provided source for further exploration of the molecular mechanisms of chemical signal transductions in A. gifuensis, as well as other hymenopteran species.

Genome-wide identification and analysis of MIKC-type MADS-box genes expression in Chimonanthus salicifolius

Gui Fang-Fang,Jiang Ge-Ge,Bin Dong,Zhong Shi-Wei,Xiao Zheng,Qiu Fang,Wang Yi-Guang,Yang Li-Yuan,Zhao Hongbo 한국유전학회 2023 Genes & Genomics Vol.45 No.9

Background MIKC type MADS-box transcription factors are one of the largest gene families and play a pivotal role in flowering time and flower development. Chimonanthus salicifolius belongs to the family Calycanthaceae and has a unique flowering time and flowering morphology compared to other Chimonanthus species, but the research on MIKC type MADS-box gene family of C. salicifolius has not been reported. Objective Identification, comprehensive bioinformatic analysis, the expression pattern of MIKC-type MADS-box gene family from different tissues of C. salicifolius. Methods Genome-wide investigation and expression pattern under different tissues of the MIKC-type MADS-box gene family in C. salicifolius, and their phylogenetic relationships, evolutionary characteristics, gene structure, motif distribution, promoter cis-acting element were performed. Results A total of 29 MIKC-type MADS-box genes were identified from the whole genome sequencing. Interspecies synteny analysis revealed more significant collinearity between C. salicifolius and the magnoliids species compared to eudicots and monocots. MIKC-type MADS-box genes from the same subfamily share similar distribution patterns, gene structure, and expression patterns. Compared with Arabidopsis thaliana, Nymphaea colorata, and Chimonanthus praecox, the FLC genes were absent in C. salicifolius, while the AGL6 subfamily was expanded in C. salicifolius. The selectively expanded promoter (AGL6) and lack of repressor (FLC) genes may explain the earlier flowering in C. salicifolius. The loss of the AP3 homologous gene in C. salicifolius is probably the primary cause of the morphological distinction between C. salicifolius and C. praecox. The csAGL6a gene is specifically expressed in the flowering process and indicates the potential function of promoting flowering. Conclusion This study offers a genome-wide identification and expression profiling of the MIKC-types MADS-box genes in the C. salicifolius, and establishes the foundation for screening flowering development genes and understanding the potential function of the MIKC-types MADS-box genes in the C. salicifolius.

RING Finger Proteins Are Involved in the Progression of Barrett Esophagus to Esophageal Adenocarcinoma: A Preliminary Study

( Xing Wei Wang ),( Wei Wei ),( Wei Qiang Wang ),( Xiao Yan Zhao ),( Hong Guo ),( Dian Chun Fang ) 대한소화기학회 2014 Gut and Liver Vol.8 No.5

Background/Aims: To investigate the differential expression of RING finger (RNF) proteins in Barrett esophagus (BE) and esophageal adenocarcinoma (EAC). Methods: The differential expression of RNFs in normal esophagus (NE), BE, and EAC was screened using microarray assay. Real-time quantitative polymerase chain reaction (PCR), tissue microarray assay, and Western blot analysis were independently performed to detect the mRNA and protein expression of screened RNFs. Results: The expression of nine RNFs in the BE or EAC was 2-fold higher than those in NE. Among these proteins, the RNF32 and RNF121 expression in BE was 20.3-fold and 16.4-fold higher, respectively, than that in NE, and the expression of RNF24, RNF130, RNF141, RNF139, RNF11, RNF14, and RNF159 was upregulated more than 2-fold compared with NE. The expression of nine RNFs was not only upregulated in the EAC but was also positively related to the RNF expression in BE. The PCR results also indicated increased expression of these RNFs in BE and EAC compared to NE. Furthermore, the mRNA expression of all RNFs, except for RNF141 in EAC, was dramatically higher than those in the BE. Similar results were also obtained from the Western blot analysis. Conclusions: A total of nine RNFs play critical roles in the progression of BE to EAC. (Gut Liver 2014;8:487-494)

Cloning and Characterization of a β-Glucosidase from Marine Microbial Metagenome with Excellent Glucose Tolerance

( Wei Fang ),( Bao Lin Sun ),( Yu Zhi Hong ),( Ze Min Fang ),( Juan Juan Liu ),( Hui Peng ),( Xue Cheng Zhang ),( Ya Zhong Xiao ) 한국미생물 · 생명공학회 2010 Journal of microbiology and biotechnology Vol.20 No.9

Clinicopathologic and Prognostic Significance of the Zinc Finger of the Cerebellum Family in Invasive Breast Cancer

Wei Han,Cong Zhang,Xiao-jiao Gao,Hua-bing Wang,Fang Chen,Fang Cao,Yong-wei Hu,Jun Ma,Xing Gu,Hou-zhong Ding 한국유방암학회 2018 Journal of breast cancer Vol.21 No.1

Purpose: Five members of the zinc finger of the cerebellum (ZIC) family—ZIC1, ZIC2, ZIC3, ZIC4, and ZIC5—have been shown to be involved in various carcinomas. Here, we aimed to explore the clinicopathologic and prognostic roles of ZIC family members in invasive breast cancer patients using immunohistochemical analysis, western blotting analysis, and real-time quantitative polymerase chain reaction (RT-qPCR). Methods: A total of 241 female invasive breast cancer patients who underwent radical mastectomy between 2009 and 2011 were enrolled. ZIC proteins in 241 pairs of breast tumors and corresponding normal tissues were investigated using immunohistochemistry and the clinicopathologic roles of proteins were analyzed using Pearson’s chi-square test. Kaplan-Meier curves and Cox regression analysis were also used to analyze the prognostic value of the ZIC proteins. In addition, 12 pairs of fresh-frozen breast tumors and matched normal tissues were used in the western blotting analysis and RT-qPCR. Results: Only ZIC1 expression in normal tissues was obviously higher than that in tumors (p<0.001). On multivariate analysis, ZIC1 expression (in overall survival analysis: hazard ratio [HR], 0.405, 95% confidence interval [CI], 0.233–0.702, p=0.001; in disease-free survival analysis: HR, 0.395, 95% CI, 0.234–0.669, p=0.001) was identified as a prognostic indicator of invasive breast cancer. Conclusion: ZIC1, but not the other proteins, was obviously decreased in breast tumors and associated with clinicopathologic factors. Thus, ZIC1 might be a novel indicator to predict the overall and disease-free survival of invasive breast cancer patients.

Outcome-based Contractors Selection using the Integrated Fuzzy AHP and Fuzzy TOPISIS Method

Fang Wang,Quan Shi,Zhi-wei Hu,Wei Xia 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.4

Based on the concept of outcome-based maintenance, the outcome-based contractor equipment support is proposed as the logistical support strategy in the military industry. The outcome-based contractor equipment support is focus on the combat efficiency rather than on the performance of the equipments. Choosing the right contractor is a very important part in the process of its implementation. In fact, the contractor selection is a multi-criteria decision-making problem, which is largely dependent on the uncertainty and ambiguity of the decision-makers. This paper presents a systematic decision-making process of the outcome-based contractor selection, which employs fuzzy AHP to determine the importance weights of each index and adopts fuzzy TOPSIS to obtain the performance ratings of the alternative contractors. Finally, the validity of this method is verified by a specific case.

A Method of License Plate Location and Character Recognition based on CNN

( Wei Fang ),( Weinan Yi ),( Lin Pang ),( Shuonan Hou ) 한국인터넷정보학회 2020 KSII Transactions on Internet and Information Syst Vol.14 No.8

At the present time, the economy continues to flourish, and private cars have become the means of choice for most people. Therefore, the license plate recognition technology has become an indispensable part of intelligent transportation, with research and application value. In recent years,the convolution neural network for image classification is an application of deep learning on image processing. This paper proposes a strategy to improve the YOLO model by studying the deep learning convolutional neural network (CNN) and related target detection methods, and combines the OpenCV and TensorFlow frameworks to achieve efficient recognition of license plate characters. The experimental results show that target detection method based on YOLO is beneficial to shorten the training process and achieve a good level of accuracy.

A New Distributed Log Anomaly Detection Method based on Message Middleware and ATT-GRU

Wei Fang,Xuelei Jia,Wen Zhang,Victor S. Sheng 한국인터넷정보학회 2023 KSII Transactions on Internet and Information Syst Vol.17 No.2

Logs play an important role in mastering the health of the system, experienced operation and maintenance engineer can judge which part of the system has a problem by checking the logs. In recent years, many system architectures have changed from single application to distributed application, which leads to a very huge number of logs in the system and manually check the logs to find system errors impractically. To solve the above problems, we propose a method based on Message Middleware and ATT-GRU (Attention Gate Recurrent Unit) to detect the logs anomaly of distributed systems. The works of this paper mainly include two aspects: (1) We design a high-performance distributed logs collection architecture to complete the logs collection of the distributed system. (2)We improve the existing GRU by introducing the attention mechanism to weight the key parts of the logs sequence, which can improve the training efficiency and recognition accuracy of the model to a certain extent. The results of experiments show that our method has better superiority and reliability.

Distortion Correction Modeling Method for Zoom Lens Cameras with Bundle Adjustment

Wei Fang,Lianyu Zheng 한국광학회 2016 Current Optics and Photonics Vol.20 No.1

For visual measurement under dynamic scenarios, a zoom lens camera is more flexible than a fixedone. However, the challenges of distortion prediction within the whole focal range limit the widespreadapplication of zoom lens cameras greatly. Thus, a novel sequential distortion correction method for a zoomlens camera is proposed in this study. In this paper, a distortion assessment method without coupling effectis depicted by an elaborated chessboard pattern. Then, the appropriate distortion correction model for azoom lens camera is derived from the comparisons of some existing models and methods. To gain arectified image at any zoom settings, a global distortion correction modeling method is developed withbundle adjustment. Based on some selected zoom settings, the optimized quadratic functions of distortionparameters are obtained from the global perspective. Using the proposed method, we can rectify all imagesfrom the calibrated zoom lens camera. Experimental results of different zoom lens cameras validate thefeasibility and effectiveness of the proposed method.