We explored the feasibility and removal mechanism of removing 2-chlorobiphenyl（2-Cl BP）from soil–water system using granular activated carbon（GAC） impregnated with nanoscale zerovalent iron（reactive activated ca...We explored the feasibility and removal mechanism of removing 2-chlorobiphenyl（2-Cl BP）from soil–water system using granular activated carbon（GAC） impregnated with nanoscale zerovalent iron（reactive activated carbon or RAC）.The RAC samples were successfully synthesized by the liquid precipitation method.The mesoporous GAC based RAC with low iron content（1.32%） exhibited higher 2-Cl BP removal efficiency（54.6%） in the water phase.The result of Langmuir–Hinshelwood kinetic model implied that the different molecular structures between 2-Cl BP and trichloroethylene（TCE） resulted in more difference in dechlorination reaction rates on RAC than adsorption capacities.Compared to removing2-Cl BP in the water phase,RAC removed the 2-Cl BP more slowly in the soil phase due to the significant external mass transfer resistance.However,in the soil phase,a better removal capacity of RAC was observed than its base GAC because the chemical dechlorination played a more important role in total removal process for 2-Cl BP.This important result verified the effectiveness of RAC for removing 2-Cl BP in the soil phase.Although reducing the total RAC removal rate of 2-Cl BP,soil organic matter（SOM）,especially the soft carbon,also served as an electron transfer medium to promote the dechlorination of 2-Cl BP in the long term.展开更多
In the field of medical imaging,the traditional local binary pattern (LBP)and its improved algorithms are often sensitive to noise.Traditional LBPs are solely based on the signal information from local differences,and...In the field of medical imaging,the traditional local binary pattern (LBP)and its improved algorithms are often sensitive to noise.Traditional LBPs are solely based on the signal information from local differences,and the binary quantization method oversimplifies the local texture features while disregarding the imaging information from the concaveconvex regions between the high-order pixels and the neighboring sampling points.Therefore,we propose an improved Derived Mean Complete Local Binary Pattern (DM_CLBP) algorithm based on high-order derivatives.In the DM_CLBP method,the grey value of a single pixel is replaced by the mean grey value of the rectangular area block,and the difference between pixel values in the area is obtained using the second-order differentiation method.Based on the calculation concept of the complete local binary pattern (CLBP)algorithm,the cascade signs and magnitudes of the two components are encoded and recombined in DM_CLBP using a uniform pattern.The results from the experiments showed that the proposed DM_CLBP descriptors achieved a classification accuracy of 94.4%.Compared with LBP and other improved algorithms,the DM_CLBP algorithm presented in this study can effectively differentiate between lesion areas and normal areas in thyroid MR,(magnetic resonance)images and shows the improved accuracy of area classification.展开更多
本体感觉是包含关节运动觉和位置觉的一种特殊感觉形式。近年来,本体感觉对关节稳定性的作用成为康复医学、运动医学和矫形外科的研究热点之一。研究表明：本体感觉的减退和躯干姿势控制能力的降低是慢性腰痛（chronic low back pain,C...本体感觉是包含关节运动觉和位置觉的一种特殊感觉形式。近年来,本体感觉对关节稳定性的作用成为康复医学、运动医学和矫形外科的研究热点之一。研究表明：本体感觉的减退和躯干姿势控制能力的降低是慢性腰痛（chronic low back pain,CLBP）复发的重要原因,并提出在CLBP的治疗中应重建本体感觉和加强躯干肌控制和协调能力的训练。本文通过查阅Cochrane、Medline和CNKI等电子数据库,综述了本体感觉维持关节功能性稳定的机制、本体感觉减退诱发CLBP及其在CLBP康复中的应用。展开更多
目的通过有限元模型模拟测试不同坐姿下的腰椎间盘应力、内压,分析各姿势对于腰椎的负荷大小,为无症状人群日常生活的健康坐姿,及慢性腰痛(chronic low back pain,CLBP)等常见疾病的治疗提供参考。方法将健康志愿者CT、X线片数据导入Mim...目的通过有限元模型模拟测试不同坐姿下的腰椎间盘应力、内压,分析各姿势对于腰椎的负荷大小,为无症状人群日常生活的健康坐姿,及慢性腰痛(chronic low back pain,CLBP)等常见疾病的治疗提供参考。方法将健康志愿者CT、X线片数据导入Mimics、Geomagic Studio和HyperMesh中重构建模,建立放松坐姿前倾、挺直坐姿(中立位)、放松坐姿后倾、放松坐姿(中立位)、放松坐姿(中立位)+腰部支撑共5种典型坐姿的有限元模型,再赋予相关部位接近生物实体的材料属性(弹性模量、泊松比等),通过Abaqus分析其应力分布和椎间盘内压。结果挺直坐姿(中立位)、放松坐姿(中立位)+腰部支撑这两种姿势的腰椎间盘Mises应力、椎间盘内压相较于其他姿势明显更小。5种坐姿椎间盘内压的变化情况基本与椎间盘Mises应力峰值变化情况一致。结论不同坐姿情况下腰椎曲度、骨盆方向、肌肉活动等都会影响腰椎负荷的分布与大小,采用正确坐姿有利于预防腰椎疾病,缓解CLBP等常见腰椎问题症状。展开更多
疼痛是痛觉、情感和意识的结合,国际疼痛研究协会于2020年5月将其定义为“与实际或潜在的组织损伤相关的令人不快的感觉和情感体验”[1]。慢性腰背痛(chronic low back pain,CLBP)通常持续3个月以上,患者除了腰背局部疼痛及功能障碍以外...疼痛是痛觉、情感和意识的结合,国际疼痛研究协会于2020年5月将其定义为“与实际或潜在的组织损伤相关的令人不快的感觉和情感体验”[1]。慢性腰背痛(chronic low back pain,CLBP)通常持续3个月以上,患者除了腰背局部疼痛及功能障碍以外,易合并情绪调节障碍及认知行为障碍等,导致抑郁焦虑、睡眠障碍及其他异常表现,损害患者的日常活动和社会参与能力。而以上CLBP患者身心功能障碍的出现以及病程的迁延漫长,与其大脑相关结构和功能改变密切相关,近年来的研究也证实了这一点[2]。展开更多
虹膜识别是一种即时有效、被广泛应用的生物技术,其相对于人脸识别、指纹识别拥有更高的安全性能。但虹膜识别系统整体性能在很大程度上受虹膜分割精度的影响。为了有效提高虹膜识别系统性能即虹膜分割精度,本文在分析虹膜生理结构特点...虹膜识别是一种即时有效、被广泛应用的生物技术,其相对于人脸识别、指纹识别拥有更高的安全性能。但虹膜识别系统整体性能在很大程度上受虹膜分割精度的影响。为了有效提高虹膜识别系统性能即虹膜分割精度,本文在分析虹膜生理结构特点的基础上,大量阅读了国内外相关领域文献并分析各种算法优缺点,创新性地提出了一种新的虹膜精确分割算法,打破了传统分割算法中虹膜与瞳孔为同心圆的假设;借鉴完全局部二值模式CLBP算法思想,融合图像灰度信息和结构信息,创新性地提出了形状敏感的检测算子,有效剔除了影响分割精度的两大因素:眼睑和睫毛的干扰。同时提出了分割流程,分为两部分:虹膜粗分割与精确分割,粗分割包括外轮廓与瞳孔剔除,精分割包括眼睑与睫毛剔除。最后在中科院自动化所公开虹膜数据集CASIA-IrisV3-Interval和CASIA-IrisV1上进行了一系列有关精度和运算效率的对比实验。采用本文所提出的分割算法,在公开的OSIRIS Version 4.1虹膜识别系统上进行实验,其准确率分别提高到了97.14%和98.28%,运算时长显著减少并分别达到了0.699 s与0.758 s。展开更多
基金supported by the National Natural Science Foundation of China(No.41201302)the Fundamental Research Funds for the Central Universities(No.222201514337)Shanghai Natural Science Funds(No.11ZR1409400)
文摘We explored the feasibility and removal mechanism of removing 2-chlorobiphenyl（2-Cl BP）from soil–water system using granular activated carbon（GAC） impregnated with nanoscale zerovalent iron（reactive activated carbon or RAC）.The RAC samples were successfully synthesized by the liquid precipitation method.The mesoporous GAC based RAC with low iron content（1.32%） exhibited higher 2-Cl BP removal efficiency（54.6%） in the water phase.The result of Langmuir–Hinshelwood kinetic model implied that the different molecular structures between 2-Cl BP and trichloroethylene（TCE） resulted in more difference in dechlorination reaction rates on RAC than adsorption capacities.Compared to removing2-Cl BP in the water phase,RAC removed the 2-Cl BP more slowly in the soil phase due to the significant external mass transfer resistance.However,in the soil phase,a better removal capacity of RAC was observed than its base GAC because the chemical dechlorination played a more important role in total removal process for 2-Cl BP.This important result verified the effectiveness of RAC for removing 2-Cl BP in the soil phase.Although reducing the total RAC removal rate of 2-Cl BP,soil organic matter（SOM）,especially the soft carbon,also served as an electron transfer medium to promote the dechlorination of 2-Cl BP in the long term.
基金the National Natural Science Foundation of China under Grant Nos_61728205,61772242,61402204, and 61572239the Natural Science Foundation of Jiangsu Province of China under Grant No.BK20130529+3 种基金the Research Fund for Advanced Talents of Jiangsu University of China under Grant No.14JDG141the Science and Technology Project of Zhenjiang City of China under Grant No.SH20140110the Special Software Development Foundation of Zhenjiang City of China under Grant No.201322the Science and Technology Support Foundation of Zhenjiang City (Industrial)under Grant No.GY2014013.
文摘In the field of medical imaging,the traditional local binary pattern (LBP)and its improved algorithms are often sensitive to noise.Traditional LBPs are solely based on the signal information from local differences,and the binary quantization method oversimplifies the local texture features while disregarding the imaging information from the concaveconvex regions between the high-order pixels and the neighboring sampling points.Therefore,we propose an improved Derived Mean Complete Local Binary Pattern (DM_CLBP) algorithm based on high-order derivatives.In the DM_CLBP method,the grey value of a single pixel is replaced by the mean grey value of the rectangular area block,and the difference between pixel values in the area is obtained using the second-order differentiation method.Based on the calculation concept of the complete local binary pattern (CLBP)algorithm,the cascade signs and magnitudes of the two components are encoded and recombined in DM_CLBP using a uniform pattern.The results from the experiments showed that the proposed DM_CLBP descriptors achieved a classification accuracy of 94.4%.Compared with LBP and other improved algorithms,the DM_CLBP algorithm presented in this study can effectively differentiate between lesion areas and normal areas in thyroid MR,(magnetic resonance)images and shows the improved accuracy of area classification.
文摘本体感觉是包含关节运动觉和位置觉的一种特殊感觉形式。近年来,本体感觉对关节稳定性的作用成为康复医学、运动医学和矫形外科的研究热点之一。研究表明：本体感觉的减退和躯干姿势控制能力的降低是慢性腰痛（chronic low back pain,CLBP）复发的重要原因,并提出在CLBP的治疗中应重建本体感觉和加强躯干肌控制和协调能力的训练。本文通过查阅Cochrane、Medline和CNKI等电子数据库,综述了本体感觉维持关节功能性稳定的机制、本体感觉减退诱发CLBP及其在CLBP康复中的应用。
文摘目的通过有限元模型模拟测试不同坐姿下的腰椎间盘应力、内压,分析各姿势对于腰椎的负荷大小,为无症状人群日常生活的健康坐姿,及慢性腰痛(chronic low back pain,CLBP)等常见疾病的治疗提供参考。方法将健康志愿者CT、X线片数据导入Mimics、Geomagic Studio和HyperMesh中重构建模,建立放松坐姿前倾、挺直坐姿(中立位)、放松坐姿后倾、放松坐姿(中立位)、放松坐姿(中立位)+腰部支撑共5种典型坐姿的有限元模型,再赋予相关部位接近生物实体的材料属性(弹性模量、泊松比等),通过Abaqus分析其应力分布和椎间盘内压。结果挺直坐姿(中立位)、放松坐姿(中立位)+腰部支撑这两种姿势的腰椎间盘Mises应力、椎间盘内压相较于其他姿势明显更小。5种坐姿椎间盘内压的变化情况基本与椎间盘Mises应力峰值变化情况一致。结论不同坐姿情况下腰椎曲度、骨盆方向、肌肉活动等都会影响腰椎负荷的分布与大小,采用正确坐姿有利于预防腰椎疾病,缓解CLBP等常见腰椎问题症状。
文摘疼痛是痛觉、情感和意识的结合,国际疼痛研究协会于2020年5月将其定义为“与实际或潜在的组织损伤相关的令人不快的感觉和情感体验”[1]。慢性腰背痛(chronic low back pain,CLBP)通常持续3个月以上,患者除了腰背局部疼痛及功能障碍以外,易合并情绪调节障碍及认知行为障碍等,导致抑郁焦虑、睡眠障碍及其他异常表现,损害患者的日常活动和社会参与能力。而以上CLBP患者身心功能障碍的出现以及病程的迁延漫长,与其大脑相关结构和功能改变密切相关,近年来的研究也证实了这一点[2]。
文摘虹膜识别是一种即时有效、被广泛应用的生物技术,其相对于人脸识别、指纹识别拥有更高的安全性能。但虹膜识别系统整体性能在很大程度上受虹膜分割精度的影响。为了有效提高虹膜识别系统性能即虹膜分割精度,本文在分析虹膜生理结构特点的基础上,大量阅读了国内外相关领域文献并分析各种算法优缺点,创新性地提出了一种新的虹膜精确分割算法,打破了传统分割算法中虹膜与瞳孔为同心圆的假设;借鉴完全局部二值模式CLBP算法思想,融合图像灰度信息和结构信息,创新性地提出了形状敏感的检测算子,有效剔除了影响分割精度的两大因素:眼睑和睫毛的干扰。同时提出了分割流程,分为两部分:虹膜粗分割与精确分割,粗分割包括外轮廓与瞳孔剔除,精分割包括眼睑与睫毛剔除。最后在中科院自动化所公开虹膜数据集CASIA-IrisV3-Interval和CASIA-IrisV1上进行了一系列有关精度和运算效率的对比实验。采用本文所提出的分割算法,在公开的OSIRIS Version 4.1虹膜识别系统上进行实验,其准确率分别提高到了97.14%和98.28%,运算时长显著减少并分别达到了0.699 s与0.758 s。
