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      • KCI등재

        Nanoparticle-free, Fluorine-free, and Robust Superhydrophobic Cotton Fabric Fabricated Using a Combination of Etching Method and Mist Polymerization Technology

        Qingbo Xu,Xinyu Wang,Wei Xu,Yanyan Zhang,Zhenzhen Xu 한국섬유공학회 2022 Fibers and polymers Vol.23 No.6

        Immobilizing inorganic or organic particles on cotton fabric to increase the surface roughness, followed by coatingwith low surface reagents to reduce the surface energy, are the dominant strategies to prepare the superhydrophobic cottonsurface. However, the inorganic or organic particles can easily fall off the surface of the fabrics. Thus, the surface roughnessof the fabric could be reduced during the process, resulting in the poor durability of the superhydrophobic fabric. In this work,the surface of the cotton fabric was etched by cellulase. Following this, the treated fabric was grafted using a diblockcopolymer (poly[(methyl methacrylate)-b-(2-(dimethylamino)ethyl)] (PMMA-b-PDMAEMA)), which was synthesizedfollowing the reversible addition-fragmentation chain transfer (RAFT) polymerization process. The mist polymerizationtechnology was used for the process. The coatings successfully endowed the cotton fabric with superhydrophobic properties. The maximum WCA value recorded was 159.9 °. The treated fabric exhibited excellent mechanical and chemical stability. Moreover, the modified cotton sample also exhibited good self-cleaning effects in the presence of solid dust and liquidcontaminants. It also exhibited excellent oil-water separation properties. Therefore, the superhydrophobic fabric preparedusing a combination of the etching method and mist polymerization technology can find its potential application in home andindustrial areas.

      • KCI등재

        Distribution characteristics of fungal communities with depth in paddy fields of three soil types in China

        Xu Li,Huanhuan Wang,Xiang Li,Xinyu Li,Huiwen Zhang 한국미생물학회 2020 The journal of microbiology Vol.58 No.4

        Little is known about the distribution of fungal communities with soil depth on relatively large scales. In this study, typical paddy soils in three regions (Hailun, Changshu, and Yingtan) from north to south China were selected to investigate the vertical distribution (0-100 cm) of the fungal community by Illumina MiSeq sequencing, and to identify the main factors influencing the fungal community distribution. The results indicated that the structure of the soil fungal community changed significantly with region and soil depth. Soil fungal taxa such as Zygomycota, Glomeromycota, Saccharomycete, Kazachstania, Mortierella, Massariosphaeria, Hypholoma, and Zopfiella were enriched at depths of 0–20 cm, whereas Dothideomycetes, Microbotryomycetes, Tremellomycetes, Sporobolomyces, Cryptococcus, Rhodotorula, Fusarium, and Pyrenochaetopsis had high relative abundances at 80–100 cm. Variance partitioning analysis indicated that the geographic distance contributed more to the fungal community variation than environmental variables on a large scale. In addition, soil total carbon and nitrogen contents were the main environmental factors driving the vertical distribution of the fungal community in paddy soils.

      • KCI등재

        Negative sequence control for DC voltage balancing in three‑phase cascaded H‑bridge rectifiers considering DC‑port failures

        Xinyu Zhu,Xiao Liang,Kaiyue Gong,Xu Peng,Jun Cai,Xiaohan Liu,Chao Zhou,Siqi An,Chao Wu,Pengcheng Han 전력전자학회 2022 JOURNAL OF POWER ELECTRONICS Vol.22 No.12

        As a vital component of power electronic transformers (PET), the reliability of a cascaded H-bridge rectifier (CHBR) is essential. Therefore, in this paper, a DC-port voltage balance strategy considering DC-port failure is researched to ensure the stable operation of a CHBR. However, if the DC-port voltage balance strategy is adopted to realize the single-phase balance of a CHBR, the three-phase currents become unbalanced. This paper uses a negative sequence control (NSC) strategy that is conducive to balancing DC-port voltage to achieve three-phase current balance. For the DC-port voltage balance, the matrix generation modulation (MGM) algorithm is proposed. In addition, the DC-port voltage balance boundary is analyzed to determine the range of the DC-port voltage balance in the CHBR. A 3-module cascading topology is adopted to demonstrate the MGM algorithm and the NSC strategy. Through experiments, results show the correctness and feasibility of the proposed strategy.

      • KCI등재

        Xylazole inhibits NO-cGMP pathway in fetal rat nerve cells

        Xinyu Wang,Yue Wu,Lin Liu,Hui Bai,Zhiheng Zhang,Mingchao Zhao,Tianwen Ma,Xiaopeng Song,Lina Jia,Liangyu Lv,Yue Yu,Xinyu Xu,Hong Chen,Li Gao 대한수의학회 2022 Journal of Veterinary Science Vol.23 No.1

        Background: Xylazole (Xyl) is a veterinary anesthetic that is structurally and functionally similar to xylazine. However, the effects of Xyl in vitro remain unknown. Objectives: This study aimed to investigate the anesthetic mechanism of Xyl using fetal rat nerve cells treated with Xyl. Methods: Fetal rat nerve cells cultured for seven days were treated with 10, 20, 30, and 40 μg/ mL Xyl for 0, 5, 10, 15, 20, 25, 30, 45, 60, 90, and 120 min. Variations of amino acid neurotransmitters (AANTs), Nitric oxide-Cyclic GMP (NO-cGMP) signaling pathway, and ATPase were evaluated. Results: Xyl decreased the levels of cGMP and NO in nerve cells. Furthermore, Xyl affected the AANT content and Na+-K+-ATPase and Ca2+-Mg2+-ATPase activity in nerve cells. These findings suggested that Xyl inhibited the NO-cGMP signaling pathway in nerve cells in vitro. Conclusions: This study provided new evidence that the anesthetic and analgesic effects of Xyl are related to the inhibition of the NO-cGMP signaling pathway.

      • Numerical form-finding of multi-order tensegrity structures by grouping elements

        Xinyu Wang,Jianguo Cai,Daniel Sang-hoon Lee,Yixiang Xu,Jian Feng 국제구조공학회 2021 Steel and Composite Structures, An International J Vol.41 No.2

        Multi-order tensegrity structures are an attractive form of compliant deployable structures. An efficient numerical form-finding method is proposed for multi-stable tensegrity structures in this paper. The current method first analyze the force density matrix for sets of more feasible force densities that satisfy the non-degeneracy conditions. Then, based on symmetrical grouping of elements, a genetic algorithm is used to minimize the eigenvalues; as a result, multiple orders of equilibrium can be found. For the investigation, two symmetric tensegrity structures are analyzed using the currently proposed method, and the method’s applicability and accuracy have been examined.

      • KCI등재

        Capacitors Energy Strategy Based Cascaded H-Bridge Converter for DC Port Failures

        Xu Peng,Xiaohan Liu,Guolong Yang,Xijun Liu,Lixia Gao,Xinyu Zhu 전력전자학회 2019 JOURNAL OF POWER ELECTRONICS Vol.19 No.5

        In this paper, a capacitors energy strategy based Cascaded H-bridge Converter (CHBC) for steady DC link voltage is proposed, which allow the CHBC to work while DC power fails. The topology of the CHBC is analyzed to construct the proposed strategy. The capacitors energy strategy is deduced based on the principle that the DC link voltage should be steady, the switch state should be smooth and the switch frequency should be normal. Experiments based on a three-module prototype, including static experiment, start experiment and step change experiment, proves the correctness of the strategy. They also verified the excellent fault tolerance ability and good dynamic performance of the proposed strategy.

      • Internet based Marketing Innovation in China’s Real Estate Market

        Xu Hong,Chen Li,Zhou Xinyu 대한경영학회 2016 대한경영학회 학술발표대회 발표논문집 Vol.2016 No.1

        With the in-depth implementation of the "Internet +" strategy in China, the further integration of internet within traditional industries creates new opportunities for industrial development. The overall market turnover in Chinese real estate industry turned into a low level, and the inventories continue rise. The traditional marketing models have got into trouble. More and more real estate companies begin to replace the original marketing models with utilizing the internet thinking in marketing promotion. Many enterprises are trying to combine various aspects of real estate marketing with internet to create new marketing models. This article introduces the new situation faced by the real estate marketing in the internet era, which includes real estate crowd funding (Zhong Chou), national marketing, the online to offline model of the real estate and classified information websites, and it also indicates the dilemmas in the application of the internet, such as lack of credibility of internet marketing, barriers on holding experience-focused promotion on internet, and no precise entry point to combine with the internet, etc. After all, this paper suggests reasonable recommendations on the development of the real estate marketing in the internet era.

      • KCI등재

        Prediction of Prostate Cancer Risk Stratification Based on A Nonlinear Transformation Stacking Learning Strategy

        Xinyu Cao,Yin Fang,Chunguang Yang,Zhenghao Liu,Guoping Xu,Yan Jiang,Peiyan Wu,Wenbo Song,Hanshuo Xing,Xinglong Wu 대한배뇨장애요실금학회 2024 International Neurourology Journal Vol.28 No.1

        Purpose: Prostate cancer (PCa) is an epithelial malignancy that originates in the prostate gland and is generally categorized into low, intermediate, and high-risk groups. The primary diagnostic indicator for PCa is the measurement of serum prostate-specific antigen (PSA) values. However, reliance on PSA levels can result in false positives, leading to unnecessary biopsies and an increased risk of invasive injuries. Therefore, it is imperative to develop an efficient and accurate method for PCa risk stratification. Many recent studies on PCa risk stratification based on clinical data have employed a binary classification, distinguishing between low to intermediate and high risk. In this paper, we propose a novel machine learning (ML) approach utilizing a stacking learning strategy for predicting the tripartite risk stratification of PCa. Methods: Clinical records, featuring attributes selected using the lasso method, were utilized with 5 ML classifiers. The outputs of these classifiers underwent transformation by various nonlinear transformers and were then concatenated with the lasso-selected features, resulting in a set of new features. A stacking learning strategy, integrating different ML classifiers, was developed based on these new features. Results: Our proposed approach demonstrated superior performance, achieving an accuracy of 0.83 and an area under the receiver operating characteristic curve value of 0.88 in a dataset comprising 197 PCa patients with 42 clinical characteristics. Conclusions: This study aimed to improve clinicians’ ability to rapidly assess PCa risk stratification while reducing the burden on patients. This was achieved by using artificial intelligence-related technologies as an auxiliary method for diagnosing PCa.

      • KCI등재

        Vortex-Induced Vibration Characteristics and Equivalent Static Force Calculation Method of Circular Steel Hangers on Arch Bridge

        Xinyu Xu,Yingliang Wang,Xingyu Chen,Xiaolong Zheng,Yongping Zeng 대한토목학회 2020 KSCE JOURNAL OF CIVIL ENGINEERING Vol.24 No.4

        In order to study the vortex-induced vibration (VIV) characteristics and equivalent static force calculation method of circular steel hangers on the arch bridge, a numerical simulation model of VIV was established using FLUENT software, and the reliability of the model was verified by wind tunnel tests. Effects of wind speed, damping ratio, initial tension and slenderness ratio on the VIV characteristics of circular steel hanger were investigated. Furthermore, the equivalent static force calculation formula and loading range of hanger considering VIV were presented. The results show that with the hanger’s damping ratio decreasing, the maximum amplitude and the lock-in wind speed range increases gradually, while the wind speed and frequency of VIV at the maximum amplitude were not significantly affected. As the initial tension increases or the slenderness ratio decreases, the frequency of VIV increases, and the wind speed corresponding to the maximum amplitude increases, however the maximum vibration amplitude has few changes. Based on a number of numerical analyses on VIV characteristics of hangers, the equivalent static force calculation method is put forward. The equivalent static force calculation method could provide a reference for the design and static analysis of the circular steel hangers.

      • KCI등재

        Functional Graphene Derivatives for Chemotherapy-Based Synergistic Tumor Therapy

        Xinyu Cui,Wenlong Cheng,Weili Xu,Wei Mu,XIAOJUN HAN 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2019 NANO Vol.14 No.11

        Starting from simplex drug delivery system, the graphene oxide (GO) and reduced GO (rGO) materials have been developed to be "combo" nanoplatforms containing multiple therapeutic modalities, such as the targeted drug delivery, imaging, as well as photothermal therapy (PTT) due to their distinctive physical/chemical and optical properties including excellent biocompatibility, modifiable active groups, ultra-large surface area, and intense photothermal effect. The graphene-based nanoplatforms were used for the stimuli-responsive nanocarriers, showing excellent therapeutic effects activated by endogenous stimuli including low pH, overexpressed enzymes, biomolecules, elevated glutathione, and exogenous stimuli including light, magnetic/electric field, and ultrasound. More importantly, for multimodal synergistic therapy originated from the enhanced collaborative interactions among several monotherapy types, the obtained remarkable super-additive effects were not the results just through single therapy or their theoretical combination. In this review, the recent progresses of smart graphene-based nanoplatforms for integrated cancer therapy and bio-imaging are presented. Current challenges and future perspectives of graphene-based nanoplatforms in the biomedical field are also discussed.

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