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重视抑郁症认知损害对情感症状转归的影响

中华精神科杂志 2024年第5期57卷 257-260页

作者：朱荣鑫阎锐姚志剑南京医科大学附属脑科医院南京210029

抑郁症患病率高且常导致严重的社会功能损害。抑郁症,尤其是青少年抑郁症的临床诊治困境仍是目前精神科临床实践面临的主要挑战。情感症状是目前抑郁症诊断的核心症状标准,但越来越多的研究证实了认知功能障碍也是抑郁症的核心症状之一... 详细信息

抑郁症患病率高且常导致严重的社会功能损害。抑郁症,尤其是青少年抑郁症的临床诊治困境仍是目前精神科临床实践面临的主要挑战。情感症状是目前抑郁症诊断的核心症状标准,但越来越多的研究证实了认知功能障碍也是抑郁症的核心症状之一,两者不仅均对抑郁症的临床表现和病程发展具有同样重要的地位,而且情感症状与认知功能损害间还存在着紧密而复杂的关联。探究抑郁症认知功能障碍和情感症状转归之间的关联及其病理机制的研究,对于指导临床评估、干预和改善整体预后至关重要。

关键词：抑郁症成人青少年认知损伤情感症状预后

一种新的评估脑白质纤维形态变化的长度特征构建

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中国生物医学工程学报 2024年第2期43卷 173-182页

作者：董卫红秦姣龙倪黄晶罗丹丹吴烨姚志剑卢青东南大学生物科学与医学工程学院南京210096 南京理工大学计算机科学与工程学院南京210094 南京邮电大学计算机学院南京210023 南京邮电大学软件学院南京210023 南京邮电大学网络空间安全学院南京210023 南京医科大学附属脑科医院精神科南京210029

基于弥散张量成像(DTI)数据可对全脑白质纤维进行三维呈现。当前对脑白质纤维的形态分析已用于研究在发育过程或病理情况下纤维形态的变化。本研究提出了一种新的逐脑白质纤维上点累加的欧氏空间距离表征其长度的特征,并进一步采用人类... 详细信息

基于弥散张量成像(DTI)数据可对全脑白质纤维进行三维呈现。当前对脑白质纤维的形态分析已用于研究在发育过程或病理情况下纤维形态的变化。本研究提出了一种新的逐脑白质纤维上点累加的欧氏空间距离表征其长度的特征,并进一步采用人类连接组计划(HCP)数据集中的50例样本从两个方面探究该特征稳定性。其一,不同纤维跟踪算法重建出的脑白质纤维对特征的影响;其二,同一种纤维跟踪算法下不同的脑白质纤维根数对特征的影响。纳入HCP数据集中的254例被试,运用该特征采用基于体素的分析(VBA)方式初步探究性别对脑白质纤维形态的影响。通过类内相关性系数(ICC)模型的计算发现,在两种纤维跟踪算法重建出的总体纤维长度比较接近的情况下,颅内绝大部分体素对应特征值的ICC在0.4以上。此外,同一种纤维跟踪算法下不同的脑白质纤维根数对特征的影响甚微,颅内体素对应特征值的ICC集中在0.8以上。性别对脑白质纤维长度影响的分析结果发现,相比于男性,女性在丘脑、穹窿、小脑中脚和苍白球区域的脑白质纤维长度特征值显著偏高;男性在右侧直回和右侧苍白球区域特征值显著高于女性。所提出的脑白质纤维长度特征丰富了脑白质纤维形态分析方法,可用于研究脑发育和脑相关的疾病。

关键词：脑白质纤维长度特征稳定性性别差异

金融纠纷诉源治理的实证分析与路径优化——以南京两级法院金融审判实践为例

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人民司法 2024年第7期 4-10页

作者：姚志坚黄伟峰王瑞煊江苏省南京市中级人民法院

2024年1月23日,最高人民法院召开党组会,传达学习习近平总书记在省部级主要领导干部推动金融高质量发展专题研讨班开班式上的重要讲话精神。张军院长指出,涉金融案件往往相对复杂、审理难度大,要注重与有关金融监管单位的协同配合,强化... 详细信息

2024年1月23日,最高人民法院召开党组会,传达学习习近平总书记在省部级主要领导干部推动金融高质量发展专题研讨班开班式上的重要讲话精神。张军院长指出,涉金融案件往往相对复杂、审理难度大,要注重与有关金融监管单位的协同配合,强化政策统筹,确保同向发力、形成合力,共同做实以审判工作高质量发展服务金融高质量发展,支撑和服务中国式现代化。近年来,各地法院立足自身实践,准确把握金融纠纷的特点难点,不断深化诉源治理工作,推出了一批金融纠纷诉源治理新机制,为能动规范调处金融纠纷、主动高效防范金融风险提供了生动的实践样本。

关键词：中国式现代化主要领导干部金融纠纷金融案件路径优化审判实践协同配合金融监管

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抑郁症患者大尺度功能脑网络及拓扑属性研究

中华行为医学与脑科学杂志 2024年第5期33卷 425-431页

作者：孙浩阎锐花玲玲陈志璐史家波陈瑜王晓芹卢青姚志剑南京脑科医院南京大学医学院临床教学医院南京210029 东南大学生物科学与医学工程学儿童发展与学习科学教育部重点实验室南京210096

目的:探讨经过5年随访未发生诊断改变的抑郁症(major depressive disorder,MDD)患者大尺度功能脑网络及网络拓扑属性的改变。方法:2012年1月至2018年8月期间招募住院MDD患者521例,另招募性别、年龄相匹配的健康对照者204例,所有被试完... 详细信息

目的:探讨经过5年随访未发生诊断改变的抑郁症(major depressive disorder,MDD)患者大尺度功能脑网络及网络拓扑属性的改变。方法:2012年1月至2018年8月期间招募住院MDD患者521例,另招募性别、年龄相匹配的健康对照者204例,所有被试完成静息态功能磁共振扫描及临床评估,对招募的MDD患者在其出院≥5年后进行复核诊断,对于未发生诊断改变的258例患者计入抑郁组纳入后续分析。通过构建全脑功能网络,分析两组被试间大尺度脑网络连接差异,在此基础上,进一步分析两组间感觉运动网络(somatomotor networks,SMN)、视觉网络(visual network,VN)及默认网络(default mode network,DMN)拓扑属性差异。采用SPSS 24.0软件进行统计学分析,采用独立样本t检验和χ2检验比较两组数据。结果:与健康对照组相比,MDD组具有显著下降的网络聚类,主要涉及SMN、VN及DMN(单边P<0.001,聚类P<0.05);MDD组在SMN、VN及DMN网络内功能连接(functional connectivity,FC)强度下降,SMN与VN网络间FC强度下降,额顶网络(frontoparietal network,FPN)与DAN网络间FC强度下降(均P<0.05,FDR校正);图论分析显示,MDD组的局部效率、聚类系数及标准化最短路径长度降低,右侧脑岛中部的节点效率、中心度下降及介数下降(均P<0.05,FDR校正)。结论:MDD的网络FC异常,网络拓扑属性破坏,最优化的信息处理能力减弱,网络拓扑属性在一定程度上反映抑郁症状的严重程度,其中脑岛的信息传递能力下降对于网络的功能异常起到了重要作用。

关键词：抑郁症静息态功能磁共振成像大尺度脑网络网络拓扑属性

Almost periodic solution of Nicholson＇s blowflies model with linear harvesting term and impulsive effects

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International Journal of Biomathematics 2015年第3期8卷 255-272页

作者： zhijian yao Department of Mathematics and Physics Anhui University of Architecture Hefei Anhui 230601 P. R. China

This paper is concerned with impulsive Nicholson's blowflies model with linear harvesting term. By using contraction mapping fixed point theorem, we obtain sufficient conditions for the existence of unique almost periodic positive solution. Moreover, we investigate exponential convergence of the almost periodic positive solution by Lyapunov functional.

关键词：苍蝇模型尼克尔概周期解脉冲收获线性概周期正解不动点定理

Existence and exponential stability of almost periodic positive solution for host-macroparasite difference model

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International Journal of Biomathematics 2016年第2期9卷 187-197页

作者： zhijian yao Department of Mathematics and Physics Anhui University of Architecture Hefei Anhui 230601 P. R. China

This paper is concerned with a host-macroparasite difference model. By applying the contraction mapping fixed point theorem, we prove the existence of unique almost periodic positive solution. Moreover, we investigate... 详细信息

关键词：指数稳定性概周期正解 Lyapunov泛函方法模型主机正解的存在性不动点定理周期解

Symmetrization of quasi-regular patterns with periodic tilting of regular polygons

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Computational Visual Media 2024年第3期10卷 559-576页

作者： Zhengzheng Yin yao Jin zhijian Fang Yun Zhang Huaxiong Zhang Jiu Zhou Lili He School of Computer Science and Technology Zhejiang Sci-Tech UniversityHangzhou 310018China Zhejiang Provincial Innovation Center of Advanced Textile Technology Shaoxing 312000China School of Media Engineering Communication University of ZhejiangHangzhou 310018China

Computer-generated aesthetic patterns arewidely used as design materials in various ﬁelds. Themost common methods use fractals or dynamicalsystems as basic tools to create various patterns. Toenhance aesthetics and controllability, some researchershave introduced symmetric layouts along with thesetools. One popular strategy employs dynamical systemscompatible with symmetries that construct functionswith the desired symmetries. However, these aretypically conﬁned to simple planar symmetries. Theother generates symmetrical patterns under theconstraints of tilings. Although it is slightly moreﬂexible, it is restricted to small ranges of tilingsand lacks textural variations. Thus, we proposed anew approach for generating aesthetic patterns bysymmetrizing quasi-regular patterns using general kuniformtilings. We adopted a uniﬁed strategy toconstruct invariant mappings for k-uniform tilings thatcan eliminate texture seams across the tiling ***, we constructed three types of symmetriesassociated with the patterns: dihedral, rotational, andreﬂection symmetries. The proposed method can beeasily implemented using GPU shaders and is highlyefficient and suitable for complicated tiling with regularpolygons. Experiments demonstrated the advantages of our method over state-of-the-art methods in terms ofﬂexibility in controlling the generation of patterns withvarious parameters as well as the diversity of texturesand styles.

关键词： quasi-regular patterns(QRP) k-uniform tilings invariant mappings symmetry aesthetic patterns

An efficient resin for solid-phase extraction and determination by UPLCMS/MS of 44 pharmaceutical personal care products in environmental waters

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Frontiers of Environmental Science & Engineering 2020年第3期14卷 177-187页

作者： Feng Zhu zhijian yao Wenliang Ji Deye Liu Hao Zhang Aimin Li Zongli Huo Qing Zhou Jiangsu Provincial Center for Disease Control and Prevention Nanjing 210009China State Key Laboratory of Pollution Control and Resource Reuse School of the EnvironmentNanjing UniversityNanjing 210023China Jiangsu Guochuang Enviro-protection Technology Co.Ltd. No.19 Changqing AvenueNanjing 211100China

In this study,a hydrophilic resin named GCHM was fabricated based on poly(N-vinyl pyrrolidone-codivinylbenzene),characterized,and applied as a solid-phase extraction(SPE)*** to 44 pharmaceuticals and personal care products(PPCPs)belonging to 10 classes were recovered in environmental water *** variables affecting extraction,such as adsorbent amount,sample pH,and loading speed,were *** optimal conditions,the average absolute recovgy of 44 PPCPs was 75.6%using GCHM,indicating a better performance than the commercial Oasis^*** with home-made hydrophilic polymeric sorbent followed by ultra-performance liquid chromatography and tandem mass spectrometry was validated,and the method achieved good linearity(r2>0.991,for all analytes).In addition,the method detection limits of target compounds ranged from 0.03 to 0.6 ng/*** developed method was applied to determine PPCPs in 10 environmental water samples taken from the Yangtze River,Huaihe River,and Taihu Lake,1 groundwater sample from Changzhou in Jiangsu Province,1 wastewater sample from Xiamen and 2 seawater samples from the Jiulong River in Fujian Province,*** these samples,22 compounds were determined at levels ranging from 0.5 to 1590 ng/L.

关键词： Hydrophilic resin Solid phase extraction Pharmaceuticals and personal care product Ultra-performance liquid chromatography and tandem mass spectrometry Environmental water

Early Diagnosis of Bipolar Disorder Coming Soon:Application of an Oxidative Stress Injury Biomarker(BIOS)Model

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Neuroscience Bulletin 2022年第9期38卷 979-991页

作者： Zhiang Niu Xiaohui Wu Yuncheng Zhu Lu Yang Yifan Shi Yun Wang Hong Qiu Wenjie Gu Yina Wu Xiangyun Long Zheng Lu Shaohua Hu zhijian yao Haichen Yang Tiebang Liu Yong Xia Zhiyu Chen Jun Chen Yiru Fang Clinical Research Center and Division of Mood Disorders Shanghai Mental Health CenterShanghai Jiao Tong University School of MedicineShanghai200030China Division of Mood Disorders Shanghai Hongkou Mental Health CenterShanghai200083China Information and Statistics Department Shanghai Mental Health CenterShanghai200030China Department of Psychiatry Tongji HospitalTongji University School of MedicineShanghai200333China Department of Psychiatry First Affiliated HospitalZhejiang University School of MedicineHangzhou310003China Nanjing Brain Hospital The Affiliated Brain Hospital of Nanjing Medical UniversityNanjing210029China Shenzhen Mental Health Center Shenzhen518003China Affiliated Mental Health Center Zhejiang University School of MedicineHangzhou Seventh People’s HospitalHangzhou310013China CAS Center for Excellence in Brain Science and Intelligence Technology Shanghai200031China Shanghai Key Laboratory of Psychotic Disorders Shanghai201108China

Early distinction of bipolar disorder(BD)from major depressive disorder(MDD)is difficult since no tools are available to estimate the risk of *** this study,we aimed to develop and validate a model of oxidative stress injury for predicting *** were collected from 1252 BD and 1359 MDD patients,including 64 MDD patients identified as converting to BD from 2009 through 2018.30 variables from a randomly-selected subsample of 1827(70%)patients were used to develop the model,including age,sex,oxidative stress markers(uric acid,bilirubin,albumin,and prealbumin),sex hormones,cytokines,thyroid and liver function,and glycolipid *** analyses and the Least Absolute Shrinkage and Selection Operator were applied for data dimension reduction and variable *** logistic regression was used to construct a model for predicting bipolar disorder by oxidative stress biomarkers(BIOS)on a *** validation was assessed in the remaining 784 patients(30%),and independent external validation was done with data from 3797 matched patients from five other hospitals in China.10 predictors,mainly oxidative stress markers,were shown on the *** BIOS model showed good discrimination in the training sample,with an AUC of 75.1%(95%CI:72.9%–77.3%),sensitivity of 0.66,and specificity of *** discrimination was good both in internal validation(AUC 72.1%,68.6%–75.6%)and external validation(AUC 65.7%,63.9%–67.5%).In this study,we developed a nomogram centered on oxidative stress injury,which could help in the individualized prediction of *** better real-world practice,a set of measurements,especially on oxidative stress markers,should be emphasized using big data in psychiatry.

关键词： Early recognition Bipolar disorder Big data Oxidative stress BIOS model