MnFe2O4 nanoparticles coated on one-dimensional carbon nanowires derived from Nitrilotriacetic acid as efficient catalysts to activate peroxymonosulfate for moxifloxacin degradation

Xuefeng Zhang,Yujie Zhang,Qin Yang,Yingchun Yang,Xuping Sun 한국공업화학회 2023 Journal of Industrial and Engineering Chemistry Vol.127 No.-

Sulfate radical-based advanced oxidation processes (AOPs) are highly reliable for the elimination of recalcitrantcontaminants by increasing degradability and reducing toxicity. Here, MnFe2O4 nanowires(MnFe2O4 NWs), composed of abundant MnFe2O4 nanoparticles immobilized on one-dimensional carbonnanowires derived from annealed MnFe-Nitrilotriacetic acid (MnFe-NTA) precursor was successfully synthesized. The MnFe2O4 NWs, which could provide more active sites, were then utilized to activate peroxymonosulfate(PMS) for oxidizing the target pollutant Moxifloxacin (MOX) in an aqueous solution. TheMnFe2O4 NWs/PMS system acquired 91.9% removal of MOX and achieved 55.1% chemical oxygen demand(COD) degradation efficiency in 30 min. The results exhibited that the increased catalyst doses and PMSconcentration lead to ascending MOX removal rate, which decreased with the participation of co-existingions. Besides, there is a close relationship between original pH and MOX degradation efficiency. It wasfound that SO4 –, OH, 1O2, and O2 – were involved in the MOX degradation by quenching experimentsand electron paramagnetic resonance (EPR) detection. More importantly, the stable magnetism ofMnFe2O4 NWs contributed to its convenient recycling. Finally, a reliable mechanism for activating PMSwas proposed based on the aforementioned results and previous researches, which could exhibit a novelhorizon in effluent treatment.

Working Conditions on the Afterglow Characteristics of Rare-earth Luminous Fibers

Xuefeng Guo,Keqin Zhang,Hongwei Zhang,Mingqiao Ge 한국섬유공학회 2018 Fibers and polymers Vol.19 No.3

To test and clarify the stability of afterglow performance of luminescent fibers can accelerate the step of the commercialized application on luminescent textiles. This work investigated the possible effects of a number of working conditions on the afterglow characteristics of luminous fibers. The fibers in our studies did not show any significant change in their afterglow brightness and duration after storage for 12 months under conditions of constant temperature and humidity, after 5 hours of light exposure, or soaking in water for 4 hours. The insignificant decay appears to follow the same mechanism. Thermal perturbation seemed to cause some changes to the initial brightness and decay time with the best performance being observed at about 80 oC. Moreover, contact with acid or base for 5 minutes only resulted in slight reduction of the afterglow brightness. Our studies thus indicate a high degree of stability of the afterglow performance of the luminous fibers used.

Recycling of Sintered Nd-Fe-B Magnets Doped with PrNd Nanoparticles

Xuefeng Zhang,Fei Liu,Yanli Liu,Qiang Ma,Yongfeng Li,Qian Zhao,Gaofeng Wang,Zhubai Li 한국자기학회 2015 Journal of Magnetics Vol.20 No.2

The waste of sintered Nd-Fe-B magnets was recycled using the method of dopingPrNd nanoparticles. The effect of PrNd nanoparticle doping on the magnetic properties of the regenerated magnets has been studied. As the content of the PrNd nanoparticles increases, the coercivity increases monotonically, whereas both the remanence and the maximum energy products reach the maximum values for 4 wt% PrNd doping. Microstructural observation reveals that the appropriate addition of PrNd nanoparticles improves the magnetic properties and refines the grain. Domain investigation shows that the self-pinning effect of the rare earth (Re)-rich phase is enhanced by PrNd nano-particle doping. Compared to the magnet with 4 wt% PrNd alloy prepared using the dual-alloy method, the regenerated magnet doped with the same number of PrNd nanoparticles exhibits better magnetic properties and a more homogeneous microstructure. Therefore, it is concluded that PrNd nanoparticle doping is an efficient method for recycling the leftover scraps of Nd-Fe-B magnets.

Large-scale pilot test study on bearing capacity of sea-crossing bridge main pier pile foundations

Zhang, Xuefeng,Li, Qingning,Ma, Ye,Zhang, Xiaojiang,Yang, Shizhao Techno-Press 2014 Geomechanics & engineering Vol.7 No.2

Due to the sea-crossing bridge span is generally large and main pier pile foundations are located in deep water and carry large vertical load, sea-crossing bridge main pier pile foundations bearing mechanism and load deformation characteristics are still vague. Authors studied the vertical bearing properties of sea-crossing bridge main pier pile foundations through pilot load tests. Large tonnage load test of Qingdao Bay Bridge main pier pile program is designed by using per-stressed technique to optimize the design of anchor pile reaction beam system. Test results show that the design is feasible and effective. This method can directly test bearing capacity of main pier pile foundations, and analysis bearing behaviors from test results of sensors which embedded in the pile. Through test study the vertical bearing properties of main pier pile foundation and compared with the generally short pile, author summarized the main pier pile foundations vertical bearing capacity and the main problem of design and construction which need to pay attention, and provide a reliable basis and experience for sea-crossing bridge main pier pile foundations design and construction.

State and Output Feedback Controller Design of Takagi-Sugeno Fuzzy Singular Fractional Order Systems

Xuefeng Zhang,Kaijing Jin 제어·로봇·시스템학회 2021 International Journal of Control, Automation, and Vol.19 No.6

This paper investigates the admissibility issue of a class of singular fractional order nonlinear systems based on Takagi-Sugeno (T-S) fuzzy model. First, the fuzzy model and the state and output feedback controllers share the different membership functions. Then, we propose the methods about designing the fuzzy state and output feedback controllers, which guarantee the asymptotical stability of closed-loop systems. Next, the equality constraint existing in most of admissibility theorems is eliminated and strict linear matrix inequalities (LMIs) are obtained. Finally, two numerical simulation examples are given to illustrate the effectiveness of the proposed methods.

Robustness Analysis of Super Network Consisting of Product Development Tasks, Customers and Customers’ Knowledge

Xuefeng Zhang,Yu Yang,Na Zhang,Tao Yang 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.11

Static and Dynamic Output Feedback Control for Polytopic Uncertain Fractional Order Systems with 0 < μ < 1

Xuefeng Zhang,Zerui Han 제어·로봇·시스템학회 2023 International Journal of Control, Automation, and Vol.21 No.1

The stabilization conditions of fractional order systems (FOS) with order 0 < µ < 1 via two different types of output feedback controls are discussed in this paper. Firstly, by using variable substitution, an alternative condition that guarantees autonomous FOS to be asymptotically stable is proposed, the condition contains only a single variable. Then, based on this stability criterion, the stabilization conditions for FOS and polytopic FOS are given in the form of direct linear matrix inequality. And the obtained results can overcome some drawbacks in the existing work. Furthermore, we extend the results to the singular fractional order case. Finally, the effectiveness of the results is verified by numerical examples.

Diabetic Retinopathy Diagnosis Based on Deep Learning and Independent Subspace Analysis

Xuefeng Zhang,Seung Min O,HyeWon Kim,Yong Soo Kim 한국지능시스템학회 2021 한국지능시스템학회논문지 Vol.31 No.4

당뇨성 망막변증 진단 시스템을 개발하기 위해서 안저 영상과 인공지능 기법을 사용하는 것은 산업계에서 유망한 분야중의 하나이다. 당뇨성 망막변증의 검출은 영상의 색깔, 해상도, 밝기의 큰 변동과 클래스간의 불균형 분포를 갖는 데이터, 영상내의 병변이 아주 작아서 힘든 작업이다. 이 논문의 목적은 당뇨성 망막변증의 검출을 위한 더 좋은 방법을 찾는 것이다. 합성곱 신경회로망에 기반한 딥러닝과 독립 부분 공간 알고리즘을 표현을 학습하고 안저 데이터로부터 특징들을 추출하기 위해서 구현하였다. 이렇게 추출된 특징들은 당뇨성 망막변증을 검출하기 위해 분류기에 입력된다. 감독학습을 사용하여 당뇨성 망막변증을 검출하는데 최상의 결과를 얻었다. Using fundus images and artificial intelligence(AI) technology to develop a Diabetic Retinopathy(DR) diagnostic system has been one of the hot research topics in the industry. DR detection is a challenging task due to tiny lesions in the images, inter-class imbalanced data distribution, and a huge variation in the brightness, resolution, and color of images. The aim of this paper is to explore better ways for DR detection. Convolutional neural network(CNN) based deep learning and independent subspace analysis(ISA) algorithm are implemented to learn representation and extract features from fundus data. Then these extracted features go through a classification to detect DR. We achieved the best result of DR detection performed using supervised learning.

Proportional Plus Derivative State Feedback Control of Takagi-Sugeno Fuzzy Singular Fractional Order Systems

Xuefeng Zhang,Kaijing Jin 제어·로봇·시스템학회 2021 International Journal of Control, Automation, and Vol.19 No.11

This paper investigates the fuzzy normalization and stabilization issues of a class of singular fractional order nonlinear systems with order 0 < α < 1 based on a singular Takagi-Sugeno fuzzy model. First, we present the admissibility theorem of Takagi-Sugeno fuzzy singular fractional order systems. Next, benefited by that the fuzzy model and the state feedback controllers do not share the same membership functions, a proportional plus derivative state feedback controller is designed, which guarantees the closed-loop system normalized and admissible. Finally, a numerical simulation example is given to illustrate the effectiveness of the proposed method.

CXCL-13 Regulates Resistance to 5-Fluorouracil in Colorectal Cancer

Guolin Zhang,Xin Luo,Wei Zhang,Engeng Chen,Jianbin Xu,Fei Wang,Gaoyang Cao,Zhenyu Ju,Dongai Jin,Xuefeng Huang,Wei Zhou,Zhangfa Song 대한암학회 2020 Cancer Research and Treatment Vol.52 No.2

Purpose 5-Fluorouracil (5-Fu) is used as a conventional chemotherapy drug in chemotherapy for patients with advanced colorectal cancer, but many patients still suffer from treatment failure due to 5-Fu resistance. Emerging observations revealed the important role of chemokine (C-X-C motif) ligand 13 (CXCL-13) in tumor microenvironment and its relationship with prognosis in patients with colorectal cancer. This study is designed to reveal the important role of CXCL-13 in causing colorectal cancer resistance to 5-Fu. Materials and Methods CXCL-13 levels of patient's serum or cell culture supernatants were measured separately by enzyme-linked immunosorbent assay. In cell assays, cell viability is detected by Cell Counting Kit-8. Therefore, the recombinant human CXCL-13 was used to simulate its high expression in cells while its antibody and siRNA were used to reduce CXCL-13 expression in cells. Results In this study, we demonstrated that CXCL-13 is associated with 5-Fu resistance by culture medium exchange experiments and cytokine arrays of colorectal cancer resistant and nonresistant cells. Clinical studies showed that CXCL-13 is highly expressed in the serum of 5-Fu–resistant patients. High levels of serum CXCL-13 also predict a worse clinical outcome. The addition of recombinant CXCL-13 cytokine resulted in 5-Fu resistance, while its antibody overcame 5-Fu resistance, and knockdown of CXCL-13 expression by siRNA also reduced 5-Fu resistance, which can be saved by added recombination CXCL-13. Conclusion These results not only identify a CXCL-13 mediated 5-Fu resistance mechanism but also provide a novel target for 5-Fu–resistant colorectal cancer in prevention and treatment strategies.