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镧改性壳聚糖对高氟饮用水的处理研究

盐业与化工 2016年第11期45卷 29-33页

作者：徐美赵淑芳王剑王洪玲崔维真沧州师范学院化学与化工学院河北沧州061001 中盐工程技术研究院有限公司天津300450

采用硝酸镧改性壳聚糖的方法制备新型除氟剂(La-CTS)吸附水中氟离子,分别考察了氟离子初始浓度、pH值、温度、吸附剂用量、吸附时间对La-CTS吸附性能的影响,确定最佳条件为:氟离子初始浓度为8.16 mg/L时,pH值为6,温度为20℃,吸附剂用量... 详细信息

采用硝酸镧改性壳聚糖的方法制备新型除氟剂(La-CTS)吸附水中氟离子,分别考察了氟离子初始浓度、pH值、温度、吸附剂用量、吸附时间对La-CTS吸附性能的影响,确定最佳条件为:氟离子初始浓度为8.16 mg/L时,pH值为6,温度为20℃,吸附剂用量为0.7 g,吸附时间为160 min时,吸附达到平衡,除氟率达98.3%。

关键词：硝酸镧壳聚糖吸附饮用水降氟

Synthesis of boron nitride nanotube films with a nanoparticle catalyst

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Chinese Chemical Letters 2016年第6期27卷 871-874页

作者： cui-cui Zhuang Jia Feng hong Xu ling Li Xiao-Wei Liu MEMS Center Harbin Institute of Technology

Boron nitride nanotube（BNNT） films were synthesized by combining ball milling and thermal chemical vapor deposition（CVD） using nano-Fe3O4 as a catalyst. The as-produced BNNTs have a bamboo-like structure and have a diameter in the range of 50~200 nm with an average length of more than 40 ***, BNNT nanojunction structures were synthesized. The structure and morphology of the BNNTs were characterized by XRD, SEM, TEM and HRTEM. The possible growth mechanism of BNNTs and BNNT nanojunction structures were proposed. Though the BNNT films were observed, out of our expectation,BNNTs with thin tube wall and small average diameter have not been achieved, and this could be mainly ascribed to the aggregation of the nanoparticle catalyst, resulting in greater catalyst particles during the process of BNNT growth. This result will provide a promising approach to obtain the desired shape of BNNTs and produce branched junctions of BNNTs.

关键词： BNNT films Nano-Fe3O4 Nanoparticle catalyst Ball milling Microstructure

Structural,Electronic,Optical and Thermodynamic Properties of Nanolaminated Boride Cr_4AlB_6

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Chinese Journal of Structural Chemistry 2018年第10期37卷 1572-1584页

作者： ZHANG Rui-Zhou cui hong-ling LI Xiao-hong College of Physics and Engineering Henan University of Science and TechnologyLuoyang471003China Henan Key Laboratory of Photoelectric Energy Storage Materials and Applications Luoyang 471023China

Density functional calculations were used to investigate the structural,electronic,optical and thermal properties of Cr_4AlB_*** optimized lattice constants and atomic positions accord well with the experimental *** analysis of band structure and density of states confirms the metallic nature of Cr_4AlB_*** static dielectric constant e1（0） is about 128.0,and the maximum optical conductivity occurs at about 8.12 *** the photon energy range from 7.87 to 23.48 e V,Cr_4AlB_6 presents a metal reflective *** plasma resonance frequency wp of Cr_4AlB_6 is at the photon energy of 23.85 eV,and Cr_4AlB_6 will be transparent and change from metallic to dielectric response if the incident light has frequency greater than the plasma frequency of Cr_4AlB_*** properties including the primitive cell volume and thermal expansion,the bulk modulus and heat capacity Cv were further investigated with the increasing temperature and pressure by using the quasi-harmonic Debye model.

关键词： electronic structure optical property thermodynamic property band structure first-principles calculations

绿原酸对中性粒细胞功能及胞外诱捕网形成的影响及机制

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中国药理学通报 2025年第1期41卷 101-107页

作者：杨运刘娅王翠彭春红贵州中医药大学第二临床医学院贵州贵阳550025 七星关区中医妇幼集团医院贵州毕节551700 毕节市中医医院贵州毕节551700 贵州医科大学临床医学院贵州贵阳550025 贵州省人民医院呼吸与危重医学科贵州贵阳550002 国家卫健委肺脏免疫性疾病重点实验室贵州贵阳550002

目的探究绿原酸(chlorogenic acid,CGA)对中性粒细胞(neutrophil,NEU)功能及中性粒细胞胞外诱捕网(neutrophil extracellular traps,NETs)形成的影响及机制。方法从小鼠骨髓中分离并纯化NEU;将NEU与CGA共培养,通过CCK-8法筛选共培养适合的干预浓度;检测NEU迁移能力、髓过氧化物酶(MPO)以及脱颗粒弹性蛋白酶(NE)、基质金属蛋白酶9(MMP-9)的水平观察CGA对NEU功能的影响;免疫荧光法观察NETs的主要结构组蛋白H3及DNA骨架,以及检测NEU释放的游离DNA(cf-DNA)含量,观察NETs的形成情况;检测NEU产生的活性氧(ROS)水平,以确定CGA是否影响NEU释放NETs过程中的ROS的生成。结果CGA在浓度为100、200、400μmol·L^(-1)时对NEU活性有明显抑制作用(P<0.01)。与空白组(Blank)相比,CGA(100、200、400μmol·L^(-1))干预后,细胞迁移能力及MPO、NE、MMP-9分泌量增加(P<0.05),组蛋白H3及DNA骨架、cf-DNA的释放量明显增加(P<0.01),细胞产生的ROS也明显增加(P<0.01),上述作用在一定范围内具有浓度依赖性。结论CGA能够增强NEU功能及促进NETs的形成,可能与促进细胞内ROS水平增加有关。

关键词：绿原酸中性粒细胞胞外诱捕网免疫抗菌活性氧

Translation of steel surface defect detection algorithm with fusion of multiple attention detection heads

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Optoelectronics Letters 2025年

作者： SHI Tao cui Jie LI Song Tianjin University of Technology， School of Electrical Engineering and Automation North China University of Science and Technology， School of Electrical Engineering

This paper proposes an end-to-end defect detection algorithm model called YOLOv5-CJ to address the issues of missed detections and low accuracy in visual steel surface defect detection. By incorporating the C3＿MSBlock module， which is designed based on Res2Net and contains multi-scale information， into the backbone network， the model can represent multi-scale features at a finer granularity level and increase the network's receptive field. In the detection head， the DyHead attention mechanism is introduced， which integrates scale awareness， spatial awareness， and task awareness， to help the model better cope with complex industrial scenes with large background interference， significant defect scale variations， and easily confused defect categories. Soft NMS is employed to enhance the recognition capability in overlapping regions. Experimental results demonstrate that the proposed YOLOv5-CJ model outperforms YOLOv5s，achieving an average precision (mAP0.5 and mAP0.5:0.95) improvement of 1.9% and 7.2% on the NEU-DET dataset， and 5.3% and 4.3% on the GC10-DET dataset， respectively， validating the feasibility and effectiveness of the proposed model.

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Structure stability, electronic property and voltage profile of LiFe_(1-n)NnP_(1-m)M_(m)O_(4) olivine cathode material

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Rare Metals 2021年第12期40卷 3512-3519页

作者： Zhi-hong cui Xue-Feng Lu Jian-Hua Luo Xin Guo hong-Tao Xue Fu-ling Tang State Key Laboratory of Advanced Processing and Recycling of Non-ferrous Metal Department of Materials Science and EngineeringLanzhou University of TechnologyLanzhou 730050China

First-principles computational studies under density functional theory(DFT) framework were used to investigate the structural stability, conductivity and voltage profile of LiFe_(1-n)NnP_(1-m)M_(m)O_(4)(N, M = Si or S) electrode materials. It is found that the Li FeP_(7/8)Si_(1/8)O_(4) system has the most stable structure. After doping, the band gap values of the systems decrease gradually, and LiFe_(7/8)S_(1/8)PO_(4) system has a minimum band gap of 1.553 e V, attributed to the hybridization of the Fe-d and S-p orbital electrons. The Li Fe P7/8 S1/8 O4 system demonstrates the characteristic of n-type semiconductor, and other doping systems have the feature of p-type semiconductor. Charge density difference maps show that the covalent property of Si-O bond is enhanced in the Li FeP_(7/8)Si_(1/8)O_(4) system. The average distance of Li and O atoms in the S doping systems increases from 0.21026 to 0.21486 and 0.21129 nm, respectively,indicating that doping broadens significantly the channel of Li ion de-intercalation in LiFe_(7/8)S_(1/8)PO_(4) and LiFeP_(7/8)S_(1/8)O_(4). Additionally, the results of lithium intercalation potential imply that the voltages of the doping systems fallinto the range of 2.23-2.86 V.

关键词： Energy storage materials First principles Battery cathode LiFePO_(4) Doping Electronic properties

On Polynomial Representations of Strange Lie Superalgebras of Q-Type

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Acta Mathematica Sinica,English Series 2016年第5期32卷 559-570页

作者： cui ling LUO College of Science North China University of Science and Technology

In this paper, both canonical and noncanonical polynomial representations of Lie super- algebara of Q-type are investigated. It turns out that not all these representations are completely reducible. Moreover, the representation spaces has only two proper submodules when it is completely reducible, and has a unique composition series when it is not completely reducible.

关键词： Polynomial representation irreducible module composition series

Contour reconstruction of three-dimensional spiral CT damage image

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Journal of Innovative Optical Health Sciences 2018年第5期11卷 42-50页

作者： cui ling-ling Zhang Hui The First Affiliated Hospital of Jinzhou Medical University Jinzhou 121001 P.R.China

In order to improve the diagnosis and analysis ability of 3D spiral CT and to reconstruct the contour of 3D spiral CT damage image,a contour reconstruction method based on sharpening template enhancement for 3D spiral CT damage image is *** method uses the active contour LasSO model to extract the contour feature of the 3D spiral CT damage image and enhances the information by sharpening the template *** technique and makes the noise separation of the 3D spiral CT damage *** spiral CT image was procesed with ENT,and the statistical shape model of 3D spiral CT damage image was *** algorithm is used to decompose the feature to realize the analysis and reconstruction of the contour feature of the 3D spiral CT damage image,so as to improve the adaptive feature matching ability and the ability to locate the abnormal feature *** simulation results show that in the 3D spiral CT damage image contour reconstruction,the proposed method performs well in the feature matching of the output pixels,shortens the contour reconstruction time by 20/ms,and provides a strong ability to express the image *** normalized reconstruction error of CES is 30%,which improves the recognition ability of 3D spiral CT damage image,and increases the signal-to noise ratio of peak output by 40 dB over other methods.

关键词： Spiral CT three dimensional image contour feature extraction sharpening template en hancement

Study on threshold segmentation of multi-resolution 3D human brain CT image

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Journal of Innovative Optical Health Sciences 2018年第6期11卷 78-86页

作者： ling-ling cui Hui Zhang The First Hospital A±liated to Jinzhou Medical University Jinzhou 121001 P.R.China

In order to effectively improve the pathological diagnosis capability and feature resolution of 3D human brain CT images,a threshold segmentation method of multi-resolution 3D human brain CT image based on edge pixel grayscale feature decomposition is proposed in this *** this method,first,original 3D human brain image information is collected,and CT image filtering is performed to the collected information through the gradient value decomposition method,and edge contour features of the 3D human brain CT image are ***,the threshold segmentation method is adopted to segment the regional pixel feature block of the 3D human brain CT image to segment the image into block vectors with high-resolution feature points,and the 3D human brain CT image is reconstructed with the salient feature point as *** results show that the method proposed in this paper can provide accuracy up to 100%when the signal-to-noise ratio is 0,and with the increase of signal-to-noise ratio,the accuracy provided by this method is stable at 100%.Comparison results show that the threshold segmentation method of multi-resolution 3D human brain CT image based on edge pixel grayscale feature decomposition is signicantly better than traditional methods in pathological feature estimation accuracy,and it effectively improves the rapid pathological diagnosis and positioning recognition abilities to CT images.

关键词： Multi-resolution 3D human brain CT image segmentation feature extraction recognition