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Journal of Wuhan University of Technology(Materials Science) 2019年第1期34卷 23-29页

作者： CUI Yanjuan yang chuanfeng TANG Sheng ZHAO Yimeng CHEN Fangyan School of Environmental and Chemical Engineering Jiangsu University of Science and Technology

MoS_2-decorated C_3N_4(C_3N_4/MoS_2) nanosheets hybrid photocatalysts were prepared by a simple sonication-impregnation method. Face-to-face lamellar heterojunctions were well established between two dimension(2D) C_3N_4 and MoS_2 nanosheets. The effects of MoS_2 content on the light absorption, charge transfer and photocatalytic activity of the hybrid samples were investigated. Characterization results show that MoS_2 nanosheets are well anchored on the face of C_3N_4 nanosheets and the composites have well dispersed layered morphology. After loading with MoS_2, the light absorption of composites was much improved, especially in visible-light region. The photocatalytic activities of C_3N_4/MoS_2 samples were evaluated based on the H_2 evolution under visible light irradiation(λ > 400 nm). When the loading amount of MoS_2 was increased to 5 wt%, the highest H_2 evolution rate(274 μmol·g^(-1)·h^(-1)) was obtained. Compared with samples obtained from direct impregnation method, sonication pretreatment is favorable for the formation of 2D layered heterojuctions and thus improve the photocatalytic activity. Slightly deactivation of C_3N_4/MoS_2 composites could be observed when recycled due to the mild photocorrosion of MoS_2. Based on the band alignments of C_3N_4 and MoS_2, a possible photocatalytic mechanism was discussed, where MoS_2 could efficiently promote the separation of the photogenerated carriers of C_3N_4.

关键词： C3N4/MoS2 nanosheet heterojunction photocatalytic activity H2 evolution

Development of Novel Resid Hydrometallization Catalyst RDM-3

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China Petroleum Processing & Petrochemical Technology 2007年第4期9卷 21-24页

作者： Hu Dawei Niu chuanfeng yang Qinghe Liu Tao Research Institute of Petroleum processing SINOPEC Beijing 100083

Based on the reaction mechanism of resid hydrodemetallization, a new catalyst carrier was designed and prepared. As compared with the similar type of catalyst carrier, the said new carrier featured a higher pore volume, a larger pore diameter and a weaker surface acidity, which could improve the diffusion performance and stable reaction performance of the catalyst. The active metal components were loaded on the said carrier by a new technique for better metal dispersion, thus the impurity removal rate of the new catalyst, RDM-3, was improved significantly. The commercial test of the RDM-3 catalyst showed that the process of catalyst preparation was stable, the catalyst performance was slightly better than the catalyst prepared in the lab, therefore, the catalyst could be manufactured in commercial scale.

关键词： resid hydrotreating catalyst activity stability

宁夏地区咸水层CO_(2)封存选区及潜力预测

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水文地质工程地质 2024年第4期51卷 21-32页

作者：杨川枫刘廷程国强刁玉杰马鑫王楠李凤洋杨凌雪马晶虎亭孙建任建国宁夏回族自治区水文环境地质调查院宁夏银川750021 中国地质调查局水文地质环境地质调查中心天津300304

宁夏局部地区高碳排放源集中且碳排量巨大,亟需开展碳封存潜力评价等工作,以支撑未来碳捕集、利用与封存规划与重大示范。文章在宁夏地区碳封存基本地质条件的基础上,采用美国能源部(US-DOE)体积法,评估宁夏地区深部咸水层CO_(2)封存预... 详细信息

宁夏局部地区高碳排放源集中且碳排量巨大,亟需开展碳封存潜力评价等工作,以支撑未来碳捕集、利用与封存规划与重大示范。文章在宁夏地区碳封存基本地质条件的基础上,采用美国能源部(US-DOE)体积法,评估宁夏地区深部咸水层CO_(2)封存预测地质潜力约867.421×10~8 t,预测技术容量约423.34×10^(8) t,主力储层主要集中分布在宁夏东部盐池地区和六盘山盆地。综合封存潜力、盖层封闭性、地质体稳定性、社会环境风险等因素,开展了宁夏地区咸水层封存适宜性初步评价,结果表明:宁夏东部盐池地区储盖层条件良好、构造较稳定、人口密度低,是宁夏地区开展咸水层CO_(2)封存的有利远景区。

关键词：宁夏深部咸水层 CO_(2)地质封存预测潜力远景区

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宁夏固原市一顺层滑坡勘察及稳定性分析

能源与节能 2024年第6期 112-114页

作者：李凤洋杨川枫王楠虎亭宁夏回族自治区水文环境地质调查院宁夏银川750021

滑坡是公路工程施工安全的重要隐患之一,消除其对工程造成的影响是一项重要而有意义的工作。结合宁夏固原市一顺层滑坡的工程实例,根据滑坡形态特征和不同工况下的稳定性状态,分析了滑坡的发生机理,最终提出有效的治理措施和方案,可为... 详细信息

滑坡是公路工程施工安全的重要隐患之一,消除其对工程造成的影响是一项重要而有意义的工作。结合宁夏固原市一顺层滑坡的工程实例,根据滑坡形态特征和不同工况下的稳定性状态,分析了滑坡的发生机理,最终提出有效的治理措施和方案,可为将来类似的边坡治理提供一定的参考。

关键词：顺层滑坡成因分析稳定性评价治理措施

C-I codoped porous g-C_3N_4 for superior photocatalytic hydrogen evolution

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Chinese Journal of Catalysis 2018年第10期39卷 1615-1624页

作者： chuanfeng yang Wei Teng Yanhua Song Yanjuan Cui School of Environmental and Chemical Engineering Jiangsu University of Science and TechnologyZhenjiang 212003JiangsuChina

Porous C‐I codoped carbon nitride materials were synthesized by in‐situ codoping with iodized ionic liquid followed by post‐thermal treatment in *** effects of doping content of C‐I codoping with different amounts of ionic liquid on the structural,optical and photocatalytic properties of the samples were *** results show that more compact interlayer sacking can be achieved by post‐thermal *** with C‐I codoping by insertion of ionic liquids,much enlarged surface area but optimized sp2 conjugated heterocyclic structure can be found in the *** and energy band analysis results evidence that the light absorptions especially in visible light region are significantly *** the band gap of porous C‐I codoped samples enlarge because of the generation of porous,the negatively shifted conduction band position thermodynamically supplies stronger motivation for water *** tests reveal that the photo‐induced electron density was increased after C‐I codoping ***,the recombination rate of electron‐hole pairs is remarkably *** catalysts with moderate C‐I codoing content perform sharply enhanced photocatalytic H2 evolution activity under visible light irradiation.A H2 evolution rate of 168.2μmol/h was achieved and it was more than 9.8 times higher than pristine carbon *** study demonstrates a novel non‐metal doping strategy for synthesis and optimization of polymer semiconductor with gratifying photocatalytic H2 evolution performance from water hydrolysis.

关键词： Porous carbon nitride C‐I codoping Post‐thermal treatment Photocatalysis H2 evolution

A non-peptide-based chymotrypsin-targeted long-wavelength emission fluorescent probe with large Stokes shift and its application in bioimaging

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Chinese Chemical Letters 2024年第10期35卷 430-436页

作者： chuanfeng Fan Jian Gao Yingkai Gao Xintong yang Gaoning Li Xiaochun Wang Fei Li Jin Zhou Haifeng Yu Yi Huang Jin Chen Yingying Shan Li Chen Key Laboratory of Optic-electric Sensing and Analytical Chemistry for Life Science MOEShandong Provincial Key Laboratory of Biochemical EngineeringQingdao Nucleic Acid Rapid Detection Engineering Research CenterCollege of Marine Science and Biological EngineeringQingdao University of Science and TechnologyQingdao266042China School of Chemistry and Life Science Anshan Normal UniversityLiaoning Key Laboratory of Development and Utilization for Natural Products Active MoleculesAnshan114007China Biomedical Analysis Center Army Medical UniversityChongqing 400038China School of Pharmacy Weifang Medical UniversityWeifang 261053China College of Chemistry Baicheng Normal UniversityBaicheng 137000China

As a hydrolase,chymotrypsin(CHT)is involved in many physiological activities,and its abnormal activity is closely related to diabetes,pancreatic fibrosis,chronic pancreatitis and pancreatic *** this work,an innovative long-wavelength emission fluorescent probe TCF-CHT was designed and synthesized for the high specificity detection of CHT,which utilized TCF-OH and a mimetic peptide substrate 4-bromobutyryl as chromogenic group and recognition group,***-CHT exhibited excellent selectivity and eye-catching sensitivity(8.91 ng/m L)towards CHT,“off-on”long-wavelength emission at 670 nm and large Stokes shift(140 nm).Furthermore,the successful fulfillment and perfect performance in imaging endogenous CHT in complex organisms(P815 cells,HepG2 cells,zebrafish and tumor-bearing mice)verified its potential as a powerful tool for the recognition of CHT in complicated biological environments.

关键词： Chymotrypsin Fluorescent probe Long-wavelength emission Large Stokes shift Bioimaging

Accurate crop row recognition of maize at the seedling stage using lightweight network

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International Journal of Agricultural and Biological Engineering 2024年第1期17卷 189-198,I0001页

作者： Jian Wei Mengfan Zhang Caicong Wu Qin Ma Weitao Wang chuanfeng Wan College of Information and Electrical Engineering China Agricultural UniversityBeijing 100083China Key Laboratory of Agricultural Machinery Monitoring and Big Data Applications Ministry of Agriculture and Rural AffairsBeijing 100083China

Accurate extraction of crop row is very important for automation of agricultural *** rows are required for accurate machine guidance in agricultural production such as fertilization,plant protection,weeding and *** this study,an efficient crop row detection algorithm called Crop-BiSeNet V2 was proposed,which combined BiSeNet V2 with a spatial convolutional neural *** proposed Crop-BiSeNet V2 detected crop rows in color images without the use of threshold and other pre-information such as number of rows.A data set had 2697 maize crop images was constructed in challenging field trial conditions such as variable light,shadows,presence of weeds,and irregular crop *** proposed system was experimentally determined to overcome the interference of different complex *** it can be applied to crop rows of different numbers,straight lines and *** analyses were performed to check the robustness of the *** this algorithm with the Fully Convolutional Networks(FCN)algorithm,it exhibited superior performance and saved 84.85 *** accuracy rate reached 0.9811,and the detection speed reached 65.54 ms/*** Crop-BiSeNet V2 algorithm proposed in this study show strong generalization performance for seedling crop row *** provides high-reliability technical support for crop row detection research and assists in the study of intelligent field operation machinery navigation.

关键词： computer vision crop row detection precision agriculture semantic segmentation

Automated detection of myopic maculopathy from color fundus photographs using deep convolutional neural networks

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Eye and Vision 2024年第4期10卷 11-22页

作者： Jun Li Lilong Wang Yan Gao Qianqian Liang Lingzhi Chen Xiaolei Sun Huaqiang yang Zhongfang Zhao Lina Meng Shuyue Xue Qing Du zhichun Zhang chuanfeng LV Haifeng Xu Zhen Guo Guotong Xie Lixin Xie Qingdao Eye Hospital of Shandong First Medical University 5 Yanerdao RoadQingdao 266071China State Key Laboratory Cultivation Base Shandong Provincial Key Laboratory of OphthalmologyShandong Eye InstituteShandong First Medical University&Shandong Academy of Medical SciencesQingdao 266071China Ping An Healthcare Technology 9F Building BPingAn IFCNo.1-3 Xinyuan South RoadBejing 100027China Shandong Eye Hospital of Shandong First Medical University Jinan 250021China Rongcheng Eye Hospital Weihai 264200China Hospital of PLA Navy Qingdao 266071China Qilu Hospital of Shandong University(Qingdao) Qingdao 266035China Ping An Healthcare and Technology Company Limited hanghai 200030China ping An International Smart City Technology Company Limited Shenzhen 518000China.

Background:Myopic maculopathy(MM)has become a major cause of visual impairment and blindness worldwide,especially in East Asian *** learning approaches such as deep convolutional neural networks(DCNN)have been successfully applied to identify some common retinal diseases and show great potential for the intelligent analysis of *** study aimed to build a reliable approach for automated detection of MM from retinal fundus images using DCNN ***:A dual-stream DCNN(DCNN-DS)model that perceives features from both original images and corresponding processed images by color histogram distribution optimization method was designed for classification of no MM,tessellated fundus(TF),and pathologic myopia(PM).A total of 36,515 gradable images from four hospitals were used for DCNN model development,and 14,986 gradable images from the other two hospitals for external *** also compared the performance of the DCNN-DS model and four ophthalmologists on 3000 randomly sampledfundus ***:The DCNN-DS model achieved sensitivities of 93.3%and 91.0%,specificities of 99.6%and 98.7%,areas under the receiver operating characteristic curves(AUCs)of 0.998 and 0.994 for detecting PM,whereas sensitivities of 98.8%and 92.8%,specificities of 95.6%and 94.1%,AUCs of 0.986 and 0.970 for detecting TF in two external testing *** the sampled testing dataset,the sensitivities of four ophthalmologists ranged from 88.3%to 95.8%and 81.1%to 89.1%,and the specificities ranged from 95.9%to 99.2%and 77.8%to 97.3%for detecting PM and TF,***,the DCNN-DS model achieved sensitivities of 90.8%and 97.9%and specificities of 99.1%and 94.0%for detecting PMand T,***:The proposed DCNN-DS approach demonstrated reliable performance with high sensitivity,specificity,and AUC to classify different MM levels on fundus photographs sourced from *** can help identify MM automatically among the large myopic groups and show great potenti

关键词： Myopic maculopathy Tessellated fundus Pathologic myopia Deep convolutional neural network Color fundus image