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Anti-corrosion performance of Si-surface-alloying NdFeB magnets obtained with magnetron sputtering and thermal diffusion

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Journal of Rare Earths 2023年第8期41卷 1203-1210,I0003页

作者： Jin Tao Bang Liu Pengjie Zhang Guangqing Xu jun Lv jun huang Jian Yan Wei Sun Bingshan Li Dongmei Wang Yucheng Wu School of Materials Science and Engineering Hefei University of TechnologyHefei 230009China BGRIMM Technology Group Co. Ltd.Beijing 102600China National Engineering Research Center for Magnetic Materials Beijing 102600China Key Laboratory of Advanced Functional Materials and Devices of Anhui Province Anhui Provincial International S&T Cooperation Base for Advanced Energy MaterialsHefei University of TechnologyHefei 230009China

Si alloying in the surface layer of NdFeB magnets was realized by thermal diffusion combined with magnetron sputtering.The surface composition,phase structure and morphology of NdFeB(S-Si)specimens were characterized by an X-ray diffractometer,an X-ray photoelectron spectrometer and a field emission scanning electron microscope,respectively.The corrosion resistance of bare NdFeB(S-Si)was analyzed by static full immersion corrosion test and electrochemical experiments.Effects of sputtering and thermal diffusion on the microstructure and corrosion resistance of the surface layer were studied.Results show that surface alloying layer can effectively improve the corrosion resistance of bare NdFeB with the optimized static total immersion corrosion test time in NdFeB(1S-Si)-800 of 36 h,which is much longer than that of the pristine NdFeB(less than 0.5 h).The E_(corr)of NdFeB(1S-Si)-800 positively shifts from-1.05 to-0.92 V,indicating that the corrosion tendency is obviously lower.The J_(corr)is1.45×10^(-6)A/cm^(2)which is 2 orders of magnitude lower than that of the pristine NdFeB(5.25×10^(-4)A/cm^(2)).The intergranular composite oxides existing in Nd-rich phase contribute to the enhancement of corrosion resistance of Si-surface-alloying NdFeB.

关键词： NdFeB magnets Si surface alloying Magnetron sputtering Thermal diffusion Corrosion resistance Rare earths

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Rare earth passivation and corrosion resistance of zinc coated NdFeB magnets

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Journal of Rare Earths 2022年第2期40卷 302-308,I0005页

作者： Jing Chen Hongyi Yang Guangqing Xu Pengjie Zhang jun Lv Wei Sun Bingshan Lidi jun huang Dongmei Wang Xia Shu Yucheng Wu School of Materials Science and Engineering.Hefei University of Technology Hefei 230009China China International S&T Cooperation Base for Advanced Energy and Environmental Materials Hefei University of TechnologyHefei 230009China Key Laboratory of Advanced Functional Materials and Devices of Anhui Province Anhui Provincial International S&T Cooperation Base for Advanced Energy MaterialsHefei University of TechnologyHefei 230009China BGRIMM Technology Group Co. Ltd.Beijing 102600China National Engineering Research Center for Magnetic Materials Beijing 102600China

Rare earth passivation was conducted on Zn coated NdFeB magnets by chemical reaction to enhance the corrosion resistance performance.Morphologies,micro structures and compositions of different passivated coatings were studied by X-ray diffraction,field emission scanning electron microscopy,and X-ray photoelectron spectroscopy,respectively.The corrosion behavior was evaluated by electrochemical measurement and neutral salt spray test.The results show that the rare earth passivation can enhance the corrosion resistance of Zn coated NdFeB magnets.When the concentration of cerium nitrate is 5 g/L,the passivated specimens can achieve the longest NSS time of 360 h,which is 144 h longer than that of the pristine Zn/NdFeB magnets.The passivation layer on the Zn coating surface contributes to the enhancement of the magnets’corrosion resistance.

关键词： Sintered NdFeB magnets Rare earth passivation Zn coating Electroplating Corrosion resistance

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A pixel-level local contrast measure for infrared small target detection

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Defence Technology（防务技术） 2022年第9期18卷 1589-1601页

作者： Zhao-bing Qiu Yong Ma Fan Fan jun huang Ming-hui Wu Xiao-guang Mei School of Electronic Information and the School Aerospace Research Wuhan UniversityWuhan430074China

Infrared(IR) small target detection is one of the key technologies of infrared search and track(IRST)systems. Existing methods have some limitations in detection performance, especially when the target size is irregular or the background is complex. In this paper, we propose a pixel-level local contrast measure(PLLCM), which can subdivide small targets and backgrounds at pixel level simultaneously.With pixel-level segmentation, the difference between the target and the background becomes more obvious, which helps to improve the detection performance. First, we design a multiscale sliding window to quickly extract candidate target pixels. Then, a local window based on random walker(RW) is designed for pixel-level target segmentation. After that, PLLCM incorporating probability weights and scale constraints is proposed to accurately measure local contrast and suppress various types of background interference. Finally, an adaptive threshold operation is applied to separate the target from the PLLCM enhanced map. Experimental results show that the proposed method has a higher detection rate and a lower false alarm rate than the baseline algorithms, while achieving a high speed.

关键词： Infrared(IR)small target Irregular size Random walker(RW) Pixel-level local contrast measure(PLLCM)

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High-yield and rapid isolation of extracellular vesicles by flocculation via orbital acoustic trapping:FLOAT

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Microsystems & Nanoengineering 2024年第1期10卷 313-323页

作者： Joseph Rufo Peiran Zhang Zeyu Wang Yuyang Gu Kaichun Yang Joseph Rich Chuyi Chen Ruoyu Zhong Ke Jin Ye He Jianping Xia Ke Li Jiarong Wu Yingshi Ouyang Yoel Sadovsky Luke P.Lee Tony jun huang Department of Mechanical Engineering and Materials Science Duke UniversityDurhamNCUSA Department of Biomedical Engineering Duke UniversityDurhamNCUSA Department of Obstetrics Gynecologyand Reproductive SciencesMagee-Womens Research InstituteUniversity of PittsburghPittsburghPAUSA Department of Microbiology and Molecular Genetics School of MedicineUniversity of PittsburghPittsburghPAUSA Renal Division and Division of Engineering in Medicine Department of MedicineBrigham and Women’s HospitalHarvard Medical SchoolBostonMAUSA Department of Bioengineering Department of Electrical Engineering and Computer ScienceUniversity of CaliforniaBerkeleyBerkeleyCAUSA Department of Biophysics Institute of Quantum BiophysicsSungkyunkwan UniversitySuwonKorea

Extracellular vesicles(EVs)have been identified as promising biomarkers for the noninvasive diagnosis of various diseases.However,challenges in separating EVs from soluble proteins have resulted in variable EV recovery rates and low purities.Here,we report a high-yield(>90%)and rapid(<10 min)EV isolation method called FLocculation via Orbital Acoustic Trapping(FLOAT).The FLOAT approach utilizes an acoustofluidic droplet centrifuge to rotate and controllably heat liquid droplets.By adding a thermoresponsive polymer flocculant,nanoparticles as small as 20 nm can be rapidly and selectively concentrated at the center of the droplet.We demonstrate the ability of FLOAT to separate urinary EVs from the highly abundant Tamm-Horsfall protein,addressing a significant obstacle in the development of EV-based liquid biopsies.Due to its high-yield nature,FLOAT reduces biofluid starting volume requirements by a factor of 100(from 20 mL to 200µL),demonstrating its promising potential in point-of-care diagnostics.

关键词： trapping utilize separating

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Aerosol jet printing of surface acoustic wave microfluidic devices

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Microsystems & Nanoengineering 2024年第1期10卷 231-242页

作者： Joseph Rich Brian Cole Teng Li Brandon Lu Hanyu Fu Brittany N.Smith Jianping Xia Shujie Yang Ruoyu Zhong James L.Doherty Kanji Kaneko Hiroaki Suzuki Zhenhua Tian Aaron D.Franklin Tony jun huang Department of Biomedical Engineering Duke UniversityDurhamNC 27708USA Department of Electrical and Computer Engineering Duke UniversityDurhamNC 27708USA Department of Mechanical Engineering Virginia Polytechnic Institute and State UniversityBlacksburgVA 24061USA Thomas Lord Department of Mechanical Engineering and Materials Science Duke UniversityDurhamNC 27708USA Deptartment of Precision Mechanics Faculty of Science and EngineeringChuo UniversityTokyo 112-8551Japan Department of Chemistry Duke UniversityDurhamNC 27708USA

The addition of surface acoustic wave(SAW)technologies to microfluidics has greatly advanced lab-on-a-chip applications due to their unique and powerful attributes,including high-precision manipulation,versatility,integrability,biocompatibility,contactless nature,and rapid actuation.However,the development of SAW microfluidic devices is limited by complex and time-consuming micro/nanofabrication techniques and access to cleanroom facilities for multistep photolithography and vacuum-based processing.To simplify the fabrication of SAW microfluidic devices with customizable dimensions and functions,we utilized the additive manufacturing technique of aerosol jet printing.We successfully fabricated customized SAW microfluidic devices of varying materials,including silver nanowires,graphene,and poly(3,4-ethylenedioxythiophene)polystyrene sulfonate(PEDOT:PSS).To characterize and compare the acoustic actuation performance of these aerosol jet printed SAW microfluidic devices with their cleanroom-fabricated counterparts,the wave displacements and resonant frequencies of the different fabricated devices were directly measured through scanning laser Doppler vibrometry.Finally,to exhibit the capability of the aerosol jet printed devices for lab-on-a-chip applications,we successfully conducted acoustic streaming and particle concentration experiments.Overall,we demonstrated a novel solution-based,direct-write,single-step,cleanroom-free additive manufacturing technique to rapidly develop SAW microfluidic devices that shows viability for applications in the fields of biology,chemistry,engineering,and medicine.

关键词： printing wave fluid

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D2Net:Deep Denoising Network in Frequency Domain for Hyperspectral Image

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IEEE/CAA Journal of Automatica Sinica 2023年第3期10卷 813-815页

作者： Erting Pan Yong Ma Xiaoguang Mei jun huang Fan Fan Jiayi Ma Electronic Information School Wuhan UniversityWuhan 430072China

Dear Editor,Since the existing hyperspectral image denoising methods suffer from excessive or incomplete denoising,leading to information distortion and loss,this letter proposes a deep denoising network in the frequency domain,termed D2Net.Our motivation stems from the observation that images from different hyperspectral image(HSI)bands share the same structural and contextual features while the reflectance variations in the spectra are mainly fallen on the details and textures.

关键词： Deep Net image

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Progressive Fusion Network Based on Infrared Light Field Equipment for Infrared Image Enhancement

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IEEE/CAA Journal of Automatica Sinica 2022年第9期9卷 1687-1690页

作者： Yong Ma Xinya Wang Wenjing Gao You Du jun huang Fan Fan the Electronic Information School Wuhan UniversityWuhan 430072China

Dear Editor,3×3 Infrared imaging,generally,of low quality,plays an important role in security surveillance and target detection.In this letter,we improve the quality of infrared images by combining both hardware and software.To this end,an infrared light field imaging enhancement system is built for the first time,including a infrared light field imaging device,a large-scale infrared light field dataset(IRLF-WHU),and a progressive fusion network for infrared image enhancement(IR-PFNet).

关键词： hardware Infrared Image

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石墨炉原子吸收法测定枸橼酸铁铵中的铬元素

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华西药学杂志 2024年第2期39卷 203-205页

作者：黄俊重庆市食品药品检验检测研究院国家药品监督管理局麻醉精神药品质量监测重点实验室重庆401121

目的采用石墨炉原子吸收光谱法测定枸橼酸铁铵中的铬(Cr)元素。方法采用硝酸消解,灰化温度1500℃,原子化温度2300℃。结果测定Cr的检出限为0.26 ng·mL^(-1),r为0.9990,RSD=1.85%;平均回收率为96.92%(RSD=2.77%,n=9)。结论所用方法灵敏... 详细信息

目的采用石墨炉原子吸收光谱法测定枸橼酸铁铵中的铬(Cr)元素。方法采用硝酸消解,灰化温度1500℃,原子化温度2300℃。结果测定Cr的检出限为0.26 ng·mL^(-1),r为0.9990,RSD=1.85%;平均回收率为96.92%(RSD=2.77%,n=9)。结论所用方法灵敏度高、选择性好,可用于枸橼酸铁铵中Cr的测定。

关键词：石墨炉原子吸收法枸橼酸铁铵铬重金属含量测定原料药缺铁性贫血

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Effect of cetuximab plus FOLFOX4 regimen on clinical outcomes in advanced gastric carcinoma patients receiving evidence-based care

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World Journal of Clinical Cases 2024年第18期12卷 3360-3367页

作者： Hui Ying Ren-jun huang Xiao-Min Jing Yan Li Qun-Qiu Tong Department of General Surgery Yongkang First People's HospitalYongkang 321300Zhejiang ProvinceChina Department of Oncology Yongkang First People's HospitalYongkang 321300Zhejiang ProvinceChina

BACKGROUND Although chemotherapy is effective for treating advanced gastric carcinoma(aGC),it may lead to an adverse prognosis.Establishing a highly effective and low-toxicity chemotherapy regimen is necessary for improving efficacy and outcomes in aGC patients.AIM To determine the efficacy and safety of cetuximab(CET)combined with the FOLFOX4 regimen(infusional fluorouracil,folinic acid,and oxaliplatin)as firstline therapy for patients with aGC,who received evidence-based care(EBC).METHODS A total of 117 aGC patients who received EBC from March 2019 to March 2022 were enrolled.Of these,60 in the research group(RG)received CET+FOLFOX4 as first-line therapy,whereas 57 in the control group(CG)received FOLFOX4.The efficacy[clinical response rate(RR)and disease control rate(DCR)],safety(liver and kidney dysfunction,leukopenia,thrombocytopenia,rash,and diarrhea),serum tumor marker expression[STMs;carbohydrate antigen(CA)19-9,CA72-4,and carcinoembryonic antigen(CEA)],inflammatory indicators[interleukin(IL)-2 and IL-10],and quality of life(QOL)of the two groups were compared.RESULTS A markedly higher RR and DCR were observed in the RG compared with the CG,with an equivalent safety profile between the two groups.RG exhibited notably reduced CA19-9,CA72-4,CEA,and IL-2 levels following treatment,which were lower than the pre-treatment levels and those in the CG.Post-treatment IL-10 was statistically increased in RG,higher than the pre-treatment level and the CG.Moreover,a significantly improved QOL was evident in the RG.CONCLUSION The CET+FOLFOX4 regimen is highly effective as first-line treatment for aGC patients receiving EBC.It facilitates the suppression of STMs,ameliorates the serum inflammatory microenvironment,and enhances QOL,without increased adverse drug effects.

关键词： Cetuximab FOLFOX4 regimen Evidence-based care Advanced gastric carcinoma Efficacy and safety

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Hard-rock tunnel lithology identification using multiscale dilated convolutional attention network based on tunnel face images

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Frontiers of Structural and Civil Engineering 2023年第12期17卷 1796-1812页

作者： Wenjun ZHANG Wuqi ZHANG Gaole ZHANG jun huang Minggeng LI Xiaohui WANG Fei YE Xiaoming GUAN School of Civil Engineering Tianjin UniversityTianjin 300350China School of Civil Engineering and Architecture Guangxi UniversityNanning 530004China Jiangxi Communications Design and Research Institute Co. Ltd.Nanchang 330000China China Railway 18th Bureau Group Co. Ltd.Tianjin 300222China School of Highway Chang'an UniversityXi'an 710064China School of Civil Engineering Qingdao University of TechnologyQingdao 266033China

For real-time classification of rock-masses in hard-rock tunnels,quick determination of the rock lithology on the tunnel face during construction is essential.Motivated by current breakthroughs in artificial intelligence technology in machine vision,a new automatic detection approach for classifying tunnel lithology based on tunnel face images was developed.The method benefits from residual learning for training a deep convolutional neural network(DCNN),and a multi-scale dilated convolutional attention block is proposed.The block with different dilation rates can provide various receptive fields,and thus it can extract multi-scale features.Moreover,the attention mechanism is utilized to select the salient features adaptively and further improve the performance of the model.In this study,an initial image data set made up of photographs of tunnel faces consisting of basalt,granite,siltstone,and tuff was first collected.After classifying and enhancing the training,validation,and testing data sets,a new image data set was generated.A comparison of the experimental findings demonstrated that the suggested approach outperforms previous classifiers in terms of various indicators,including accuracy,precision,recall,F1-score,and computing time.Finally,a visualization analysis was performed to explain the process of the network in the classification of tunnel lithology through feature extraction.Overall,this study demonstrates the potential of using artificial intelligence methods for in situ rock lithology classification utilizing geological images of the tunnel face.

关键词： hard-rock tunnel face intelligent lithology identification multi-scale dilated convolutional attention network image classification deep learning

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