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Effect of cinnamaldehyde on Rhizopus stolonifer and on the conservation of sweet potato

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Food Quality and Safety 2024年第1期8卷 212-225页

作者：陈晨薛智超 Penta Pristijono John B.Golding 陈刚李永新杨虎清 College of Food and Health Zhejiang A&F UniversityHangzhouChina Zhejiang Provincial Key Laboratory of Resources Protection and Innovation of Traditional Chinese Medicine Zhejiang A&F UniversityHangzhouChina School of Environmental and Life Sciences University of NewcastleOurimbahNSWAustralia NSW Department of Primary Industries OurimbahNSWAustralia

Objectives:Rhizopus stolonifer,which causes soft rot of sweet potato,has resulted in substantial loss of economy *** and Methods:The antifungal effect and mechanism of cinnamaldehyde(CIN)against *** were explored by biochemical analysis and RNA-sequencing in this research,and the edible quality of CIN-treated sweet potato was ***:The results showed that CIN inhibited the growth of *** and reduced the incidence of soft rot in sweet potato at a minimum inhibitory concentration of 1000μL/*** damage of the cell walls of *** by CIN was associated with the upregulation of *** leakage and malondialdehyde content increased following CIN-treatment,which was correlated with increased reactive oxygen species levels and decreased catalase *** of ERG genes and oxidative stress-related genes following CIN treatment was associated with impaired cell membrane *** mitochondrial structure of *** was damaged by CIN treatment resulting in decreased respiration rates and ATP production,which was correlated with lower expression levels of IDH1,COX4,and ***:Our research suggests that the inhibition of CIN on *** was related to the disruption of its normal gene expression network,and CIN maintained the nutritional and edible quality of sweet *** study provides valuable insights into the antifungal mechanism of CIN on *** and the maintenance of root quality,which contributes to the effcient use of CIN for controlling soft rot in sweet potato.

关键词： Ipomoea batatas soft rot cinnamaldehyde antifungal mechanism transcriptome

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基于生成对抗网络的高斯型数据的过采样算法

信息与控制 2024年第2期53卷 182-190页

作者：陈刚侯宾杰大连海事大学理学院辽宁大连116026

针对在非平衡数据分类中倾向于少数类而导致分类效果降低的问题,提出了一种基于生成对抗网络的蒙特卡洛过采样算法。首先,利用生成对抗网络(GAN)生成少数类数据的概率密度函数,通过少数类数据的概率密度值确定少数类数据的过采样权重;其... 详细信息

针对在非平衡数据分类中倾向于少数类而导致分类效果降低的问题,提出了一种基于生成对抗网络的蒙特卡洛过采样算法。首先,利用生成对抗网络(GAN)生成少数类数据的概率密度函数,通过少数类数据的概率密度值确定少数类数据的过采样权重;其次,为了保证生成数据的多样性,采用蒙特卡洛算法对少数类数据进行过采样;同时,为了避免与多数类产生交叉与重叠,通过高斯分布的3σ法则对进入到多数类区间3σ内的少数类数据进行翻转,使数据集达到平衡。最后,从UCI与KEEL数据库中选取7组数据集进行算例实验,将决策树分类器作为基分类器对数据进行分类。实验结果表明所提算法是有效的。

关键词：非平衡数据生成对抗网络蒙特卡洛算法概率密度函数过采样算法

机器人辅助腹腔镜处理肾门部肿瘤的有效性以及安全性分析

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重庆医科大学学报 2024年第6期49卷 714-717页

作者：陈刚重庆医科大学附属第一医院泌尿外科重庆400016

目的:探讨机器人辅助腹腔镜手术在治疗肾门部肿瘤的安全性以及有效性。方法:回顾性分析2020年1月至2023年12月在重庆医科大学附属第一医院治疗的肾门部恶性肿瘤患者,其中普通腹腔镜23例,机器人辅助患者26例,比较2组患者的年龄、性别、... 详细信息

目的:探讨机器人辅助腹腔镜手术在治疗肾门部肿瘤的安全性以及有效性。方法:回顾性分析2020年1月至2023年12月在重庆医科大学附属第一医院治疗的肾门部恶性肿瘤患者,其中普通腹腔镜23例,机器人辅助患者26例,比较2组患者的年龄、性别、肿瘤侧别、肿瘤直径、R.E.N.A.L评分差异无统计学意义;比较2组患者的手术时间,热缺血时间、肿瘤切缘阴性、有无Clavien-DindoⅢ级以上严重并发症、术后住院时间。结果:2组手术均顺利完成,腔镜组1例改开放肾部分切除手术。2组患者在术前患者资料方面无明显差异。2组患者在手术时间、术后血红蛋白下降值、术后输血率(0/22∶0/26)、术中出血量、肿瘤切缘阳性率(0/22∶0/26)、Clavien-DindoⅢ级以上并发症发生率(0/22∶0/26)等方面比较差异均无统计学意义(P>0.05)。2组患者在术中肾脏热缺血时间[(29.3±3.7)min和(21.3±3.3)min],术后住院天数[(6.0±1.2)d和(3.9±1.3)d]差异有统计学意义(P<0.01)。结论:机器人辅助腹腔镜在处理肾门部肾肿瘤的安全性以及有效性比较确切。

关键词：肾门部肾肿瘤机器人辅助肾部分切除术

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一种多指标综合最优的抗冲击轨迹规划方法

中国机械工程 2024年第2期35卷 305-316页

作者：荣誉陈刚豆天赐燕山大学车辆与能源学院秦皇岛066004 河北省特种运载装备重点实验室秦皇岛066004 河北科技师范学院机电工程学院秦皇岛066004

为提高机械臂作业效率以及抗冲击能力,提出了一种综合最优轨迹规划方法。首先通过建立3-5-3多项式曲线数学模型构造出端点运动参数可控的关节运动轨迹;然后考虑关节位置、速度、加速度等约束条件,通过加权系数法定义目标函数,使机械臂... 详细信息

为提高机械臂作业效率以及抗冲击能力,提出了一种综合最优轨迹规划方法。首先通过建立3-5-3多项式曲线数学模型构造出端点运动参数可控的关节运动轨迹;然后考虑关节位置、速度、加速度等约束条件,通过加权系数法定义目标函数,使机械臂的动作时间、冲击和灵巧度达到综合最优,在目标函数的设计中采用动态加权方法来处理关节速度与冲击之间的矛盾;最后,针对标准粒子群算法,利用拉丁超立方抽样函数均匀化种群,并提出随机惯性权重更新策略,得到改进粒子群算法,利用该算法对目标函数进行优化,得到综合最优运动轨迹。进行了仿真和样机实验,实验结果证明所提方法具有可行性。

关键词：工业机器人轨迹规划多目标优化粒子群算法

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Explosion of research on psychopathology and social media use after COVID-19:A scientometric study

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World Journal of Psychiatry 2024年第5期14卷 742-759页

作者： Meng-Di Zhang Rong-Quan He Jia-Yuan Luo Wan-Ying Huang Jing-Yu Wei Jian Dai Hong Huang Zhen Yang Jin-Liang Kong gang chen Department of Pathology The First Affiliated Hospital of Guangxi Medical UniversityNanning 530021Guangxi Zhuang Autonomous RegionChina Department of Medical Oncology The First Affiliated Hospital of Guangxi Medical UniversityNanning 530021Guangxi Zhuang Autonomous RegionChina Department of Clinical Psychology Jiangbin Hospital of Guangxi Zhuang Autonomous RegionNanning 530021Guangxi Zhuang Autonomous RegionChina Division of Pulmonary and Critical Care Medicine The First Affiliated Hospital of Guangxi Medical UniversityNanning 530021Guangxi Zhuang Autonomous RegionChina

BACKGROUND Despite advances in research on psychopathology and social media use,no comprehensive review has examined published papers on this type of research and considered how it was affected by the coronavirus disease 2019(COVID-19)*** To explore the status of research on psychopathology and social media use before and after the COVID-19 *** We used Bibliometrix(an R software package)to conduct a scientometric analysis of 4588 relevant studies drawn from the Web of Science Core Collection,PubMed,and Scopus *** Such research output was scarce before COVID-19,but exploded after the pandemic with the publication of a number of high-impact *** authors and institutions,located primarily in developed countries,maintained their core positions,largely uninfluenced by COVID-19;however,research production and collaboration in developing countries increased significantly after *** the analysis of keywords,we identified commonly used methods in this field,together with specific populations,psychopathological conditions,and clinical *** have devoted increasing attention to gender differences in psychopathological states and linked COVID-19 strongly to depression,with depression detection becoming a new *** in research on psychopathology and social media use are unbalanced and uncoordinated across countries/regions,and more indepth clinical studies should be conducted in the *** After COVID-19,there was an increased level of concern about mental health issues and a changing emphasis on social media use and the impact of public health emergencies.

关键词： Psychopathology Social media Bibliometrics Web of Science PubMed Scopus

Identification of the key genes and mechanisms associated with transcatheter arterial chemoembolisation refractoriness in hepatocellular carcinoma

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World Journal of Clinical Oncology 2024年第1期15卷 62-88页

作者： Jie-Zhuang Huang Jian-Di Li gang chen Rong-Quan He Department of Medical Oncology The First Affiliated Hospital of Guangxi Medical UniversityNanning 530021Guangxi Zhuang Autonomous RegionChina Department of Pathology The First Affiliated Hospital of Guangxi Medical UniversityNanning 530021Guangxi Zhuang Autonomous RegionChina

BACKGROUND Transcatheter arterial embolisation(TACE)is the primary treatment for intermediate-stage hepatocellular carcinoma(HCC)patients while some HCC cases have shown resistance to *** To investigate the key genes and potential mechanisms correlated with TACE refractoriness in *** The microarray datasets of TACE-treated HCC tissues,HCC and non-HCC tissues were collected by searching multiple public *** respective differentially expressed genes(DEGs)were attained via limma R *** gene co-expression network analysis was employed for identifying the significant modules related to TACE *** refractoriness-related genes were obtained by intersecting up-regulated TACE-associated and HCC-associated DEGs together with the genes in significant modules related to TACE *** key genes expression in the above two pairs of samples was compared respectively via Wilcoxon tests and standard mean differences *** prognostic value of the key genes was evaluated by Kaplan-Meier *** analysis was utilised to investigate the independent prognostic factor in key ***-cell RNA(scRNA)sequencing analysis was conducted to explore the cell types in *** refractoriness-related genes activity was calculated via AUCell *** CellChat R package was used for the investigation of the cell–cell communication between the identified cell *** HCC tissues of TACE non-responders(n=66)and TACE responders(n=81),HCC(n=3941)and non-HCC(n=3443)tissues were *** five key genes,DLG associated protein 5(DLGAP5),Kinesin family member 20A(KIF20A),Assembly factor for spindle microtubules(ASPM),Kinesin family member 11(KIF11)and TPX2 microtubule nucleation factor(TPX2)in TACE refractoriness-related genes,were *** five key genes were all up-regulated in the TACE non-responders group and the HCC *** expression of the five key genes predicted poor prognosis in *** the key genes,TP

关键词： Hepatocellular carcinoma Transcatheter arterial embolisation refractoriness Weighted gene co-expression network analysis Single-cell RNA sequencing AUCell CellChat

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基于改进小波包方法的衬砌损伤识别研究

铁道工程学报 2024年第5期41卷 52-60页

作者：陈刚刘冲王丽霞中交第一航务工程局有限公司天津300450 中交一航局第四工程有限公司南昌330000 天津城建大学天津300380

研究目的:针对隧道衬砌发生损伤的识别方法,提出了一种基于小波包能量的计算方法,在基于前人的研究成果上进行了改进,得到了一种算法简单、损伤识别效果显著的方法,并建立了一个新的损伤指标ELG(小波包结点能量丰富点控制指标);建立了... 详细信息

研究目的:针对隧道衬砌发生损伤的识别方法,提出了一种基于小波包能量的计算方法,在基于前人的研究成果上进行了改进,得到了一种算法简单、损伤识别效果显著的方法,并建立了一个新的损伤指标ELG(小波包结点能量丰富点控制指标);建立了三维隧道有限元模型,通过多种损伤工况计算,研究了该方法在不同工况下的损伤识别效果;进行了模拟实验,通过小车-管道模型模拟隧道衬砌在列车荷载作用下的响应,并使用该方法对响应数据进行分析。研究结论:(1)新的损伤指标ELG具有高效率、高准确性的优点,可以作为一种衬砌的损伤识别方法;(2)损伤识别结果的精确程度取决于测点的布置密度,测点间距约为监测长度段的1/10时,为能否准确识别损伤的临界值,若大于此值,则不具备识别效果。

关键词：隧道损伤识别小波包变换改进小波包能量方法小波包能量

Effects of COL1A1 and SYTL2 on inflammatory cell infiltration and poor extracellular matrix remodeling of the vascular wall in thoracic aortic aneurysm

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Chinese Medical Journal 2024年第9期137卷 1105-1114页

作者： Xinsheng Xie Ye Yuan Yulong Huang Xiang Hong Shichai Hong gang chen Yihui chen Yue Lin Weifeng Lu Weiguo Fu Lixin Wang Department of Vascular Surgery Zhongshan Hospital(Xiamen)Fudan UniversityXiamenFujian 361015China Department of Vascular Surgery Zhongshan HospitalFudan UniversityShanghai 200032China Vascular Surgery Institute of Fudan University Fudan UniversityShanghai 200032China

Background:Thoracic aortic aneurysm(TAA)is a fatal cardiovascular disease,the pathogenesis of which has not yet been *** study aimed to identify and validate the diagnostic markers of TAA to provide a strong theoretical basis for developing new methods to prevent and treat this ***:Gene expression profiles of the GSE9106,GSE26155,and GSE155468 datasets were acquired from the Gene Expression Omnibus(GEO)*** expressed genes(DEGs)were identified using the"limma"package in *** absolute shrinkage and selection operator(LASSO),support vector machine-recursive feature elimination(SVM-RFE),random forest,and binary logistic regression analyses were used to screen the diagnostic marker ***-sample gene set enrichment analysis(ssGSEA)was used to estimate immune cell infiltration in ***:A total of 16 DEGs were *** enrichment and functional correlation analyses showed that DEGs were mainly associated with inflammatory response pathways and collagen-related *** type I alpha 1 chain(COL1A1)and synaptotagmin like 2(SYTL2)were identified as diagnostic marker genes with a high diagnostic value for *** expression of COL1A1 and SYTL2 was considerably higher in TAA vascular wall tissues than in the corresponding normal tissues,and there were significant differences in the infiltration of immune cells between TAA and normal vascular wall ***,COL1A1 and SYTL2 expression were associated with the infiltration of immune cells in the vascular wall ***-cell analysis showed that COL1A1 in TAA was mainly derived from fibroblasts and SYTL2 mainly from cluster of differentiation(CD)8+T *** addition,single-cell analysis indicated that fibroblasts and CD8+T cells in TAA were significantly higher than those in normal arterial wall ***:COL1A1 and SYTL2 may serve as diagnostic marker genes for *** upregulation of SYTL2 and COL1A1 may be involved in the inflammat

关键词： Bioinformatics Thoracic aortic aneurysm Immune response Single cell analysis Machine learning

ConvUCaps:基于卷积胶囊网络的医学图像分割模型

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计算机工程与应用 2024年第8期60卷 258-266页

作者：邓希泉陈刚武汉大学空天信息安全与可信计算教育部重点实验室武汉430072 武汉大学国家网络安全学院武汉430072

在医学影像分割领域,U-Net网络是目前最成功和最受关注的方法之一,但是U-Net本质上是一种经过改造的全卷积神经网络模型,要获得更为全面和准确的局部-整体关系,不但需要增加网络层次从而加大计算量,而且效果也并不明显。胶囊网络提供了... 详细信息

在医学影像分割领域,U-Net网络是目前最成功和最受关注的方法之一,但是U-Net本质上是一种经过改造的全卷积神经网络模型,要获得更为全面和准确的局部-整体关系,不但需要增加网络层次从而加大计算量,而且效果也并不明显。胶囊网络提供了一种有效的建模图像的局部与整体关系的方法,可以用更少的参数取得好的性能。但原始的胶囊网络并没有充分考虑图像局部特征的粒度问题,将其应用在医学图像分割领域还需进一步改造。因此,提出一种将U-Net和胶囊网络相结合的医学图像分割模型ConvUCaps。该模型对U-Net的编码器部分进行改进,使用卷积模块学习不同尺度的局部特征,然后通过胶囊模块学习高层特征,并建模局部与整体之间的关系。实验结果表明,相比U-Net、UNet++、SegCaps、Matwo-CapsNet网络,ConvUCaps提高了分割精度和收敛速度,同时,与单纯基于胶囊网络的分割模型相比,显著减少了推理时间。

关键词：医学图像分割卷积神经网络 U-Net网络胶囊网络