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Clinical study of different prediction models in predicting diabetic nephropathy in patients with type 2 diabetes mellitus

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World Journal of Diabetes 2024年第1期15卷 43-52页

作者： Sha-Sha Cai Teng-ye zheng Kang-Yao Wang Hui-Ping Zhu Department of Nephrology The First People’s Hospital of WenlingWenling 317500Zhejiang ProvinceChina

BACKGROUND Among older adults,type 2 diabetes mellitus(T2DM)is widely recognized as one of the most prevalent *** nephropathy(DN)is a frequent com-plication of DM,mainly characterized by renal microvascular *** detection,aggressive prevention,and cure of DN are key to improving *** a diagnostic and predictive model for DN is crucial in auxiliary *** To investigate the factors that impact T2DM complicated with DN and utilize this information to develop a predictive *** The clinical data of 210 patients diagnosed with T2DM and admitted to the First People’s Hospital of Wenling between August 2019 and August 2022 were retrospectively *** to whether the patients had DN,they were divided into the DN group(complicated with DN)and the non-DN group(without DN).Multivariate logistic regression analysis was used to explore factors affecting DN in patients with *** data were randomly split into a training set(n=147)and a test set(n=63)in a 7:3 ratio using a random *** training set was used to construct the nomogram,decision tree,and random forest models,and the test set was used to evaluate the prediction performance of the model by comparing the sensitivity,specificity,accuracy,recall,precision,and area under the receiver operating characteristic *** Among the 210 patients with T2DM,74(35.34%)had *** validation dataset showed that the accuracies of the nomogram,decision tree,and random forest models in predicting DN in patients with T2DM were 0.746,0.714,and 0.730,*** sensitivities were 0.710,0.710,and 0.806,respectively;the specificities were 0.844,0.875,and 0.844,respectively;the area under the receiver operating characteristic curve(AUC)of the patients were 0.811,0.735,and 0.850,*** Delong test results revealed that the AUC values of the decision tree model were lower than those of the random forest and nomogram models(P<0.05),whereas the differ

关键词： Type 2 diabetes mellitus Diabetic nephropathy Random forest Decision-making tree Nomogram Forecast

CXCL13 shapes tumor immune microenvironment in ovarian cancer with homologous recombination deficiency

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Genes & Diseases 2024年第5期11卷 48-50页

作者： Yue Ding zheng ye Bo Ding Songwei Feng Furong Du Xuejiao Ma Xiaoxuan Wang Yang Shen Department of Obstetrics and Gynaecology Zhongda HospitalSchool of MedicineSoutheast UniversityNanjingJiangsu 210008China State Key Laboratory of Bioelectronics School of Biological Science and Medical EngineeringSoutheast UniversityNanjingJiangsu 210096China State Key Laboratory of Translational Medicine and Innovative Drug Development Jiangsu Simcere Diagnostics Co.Ltd.NanjingJiangsu 210042China

Recently,immune checkpoint inhibitors(ICIs)and poly(ADP-ribose)polymerase inhibitors(PARPi)have played a pivotal role in prolonging the recurrence-free survival of patients with ovarian cancer(OC).1,2 Although PARPi have revolutionized the treatment of OC,the absence of reliable predictive biomarkers limits the broad application of ICIs for patients with homologous recombination(HR)deficiency(HRD).3 CXC-chemokine ligand 13(CXCL13)is a cytokine constitutively secreted in the stromal cells of the B-cell region of secondary lymphoid tissue.4 It exclusively binds to the chemokine receptor CXCR5,which is abundantly expressed in subsets of mature circulating B lymphocytes,follicular helper T cells,and skin-derived dendritic cells,and governs the migration of these cells into secondary lymphoid organs in response to the CXCL13 gradient.5 In this study,we aimed to elucidate the role of CXCL13 in shaping the tumor immune microenvironment(TIME)in HR-deficient OC and to explore its relationship with the cGAS-STING signaling pathway.

关键词： CXCL13 cancer organs

Theta Oscillations Support Prefrontal-hippocampal Interactions in Sequential Working Memory

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Neuroscience Bulletin 2024年第2期40卷 147-156页

作者： Minghong Su Kejia Hu Wei Liu Yunhao Wu Tao Wang Chunyan Cao Bomin Sun Shikun Zhan zheng ye Institute of Psychology Chinese Academy of SciencesBeijing 100101China Department of Psychology University of Chinese Academy of SciencesBeijing 100049China Department of Neurosurgery Center for Functional NeurosurgeryRuijin HospitalShanghai Jiao Tong University School of MedicineShanghai 200025China Institute of Neuroscience Center for Excellence in Brain Science and Intelligence TechnologyChinese Academy of SciencesShanghai 200031China

The prefrontal cortex and hippocampus may support sequential working memory beyond episodic memory and spatial *** stereoelectroencephalography(SEEG)study investigated how the dorsolateral prefrontal cortex(DLPFC)interacts with the hippocampus in the online processing of sequential *** patients with epilepsy(eight women,age 27.6±8.2 years)completed a line ordering task with SEEG recordings over the DLPFC and the *** showed longer thinking times and more recall errors when asked to arrange random lines clockwise(random trials)than to maintain ordered lines(ordered trials)before recalling the orientation of a particular ***,the ordering-related increase in thinking time and recall error was associated with a transient theta power increase in the hippocampus and a sustained theta power increase in the DLPFC(3–10 Hz).In particular,the hippocampal theta power increase correlated with the memory precision of line ***,theta phase coherences between the DLPFC and hippocampus were enhanced for ordering,especially for more precisely memorized ***,the theta band DLPFC→hippocampus influence was selectively enhanced for ordering,especially for more precisely memorized *** study suggests that theta oscillations may support DLPFC-hippocampal interactions in the online processing of sequential information.

关键词： Sequential working memory Hippocampus Dorsolateral prefrontal cortex Theta oscillations Stereoelectroencephalography(SEEG) Phase coherence Granger causality

Unveiling the Re,Cr,and I diffusion in saturated compacted bentonite using machine-learning methods

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Nuclear Science and Techniques 2024年第6期35卷 65-77页

作者： zheng-ye Feng Jun-Lei Tian Tao Wu Guo-Jun Wei Zhi-Long Li Xiao-Qiong Shi Yong-Jia Wang Qing-Feng Li Department of Engineering Huzhou UniversityHuzhou 313000China Institute of Theoretical Physics Shanxi UniversityTaiyuan 030006China College of Physics Science and Technology Shenyang Normal UniversityShenyang 110034China

The safety assessment of high-level radioactive waste repositories requires a high predictive accuracy for radionuclide diffusion and a comprehensive understanding of the diffusion *** this study,a through-diffusion method and six machine-learning methods were employed to investigate the diffusion of ReO_(4)^(−),HCrO_(4)^(−),and I−in saturated compacted bentonite under different salinities and compacted dry *** machine-learning models were trained using two *** dataset contained six input features and 293 instances obtained from the diffusion database system of the Japan Atomic Energy Agency(JAEA-DDB)and 15 *** other dataset,comprising 15,000 pseudo-instances,was produced using a multi-porosity model and contained eight input *** results indicate that the former dataset yielded a higher predictive accuracy than the *** gradient-boosting exhibited a higher prediction accuracy(R2=0.92)and lower error(MSE=0.01)than the other machine-learning *** addition,Shapley Additive Explanations,Feature Importance,and Partial Dependence Plot analysis results indicate that the rock capacity factor and compacted dry density had the two most significant effects on predicting the effective diffusion coefficient,thereby offering valuable insights.

关键词： Machine learning Effective diffusion coefficient Through-diffusion experiment Multi-porosity model Global analysis

循环荷载下筋材对桩承式低路堤荷载传递机制的影响试验

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中国公路学报 2024年第6期37卷 66-75页

作者：徐传堡贾亚飞郑俊杰郑烨炜武汉大学土木建筑工程学院湖北武汉430072

软土地区路基在长期交通荷载作用下,容易出现路面开裂、不均匀沉降等问题。桩承式路堤是软土地区最常用的路基加固方法之一,研究其在循环荷载下的动力特性,对于指导交通荷载下路堤的长期沉降控制具有重要意义。然而,现有的研究主要集中... 详细信息

软土地区路基在长期交通荷载作用下,容易出现路面开裂、不均匀沉降等问题。桩承式路堤是软土地区最常用的路基加固方法之一,研究其在循环荷载下的动力特性,对于指导交通荷载下路堤的长期沉降控制具有重要意义。然而,现有的研究主要集中于静载下的高路堤,对循环荷载下低路堤工作性能的研究较少。为此,开展了2组模型试验探究循环荷载下筋材对桩承式低路堤荷载传递机制的影响,分析了路堤沉降、荷载传递效率、应力应变分布等的变化特征。研究结果表明:桩承式低路堤在动载作用下产生较大的累积变形,筋材的加入有利于减小累积变形的发展。在所提试验条件下,加筋低路堤的累积变形减小了24.5%;在动载作用下,桩承式低路堤荷载传递效率随着循环次数的增加而逐渐降低,随后保持稳定;加筋增大了荷载传递效率,减小了荷载传递效率的降低幅度。在较大的循环次数和动载幅值下,未加筋低路堤的荷载传递效率持续下降,而加筋路堤缓慢增大;未加筋低路堤在静载作用下较早地形成部分土拱,随着动载的施加,土拱逐渐弱化;加筋低路堤的应力重分布现象有所改善。基于试验结果,提出了动载作用下桩承式低路堤的界定方法,并基于荷载传递效率降低系数,对模型试验中低路堤的工作性能进行了评价。

关键词：路基工程土拱演化荷载传递机制桩承式路堤循环荷载土工合成材料

刚性墙面双面加筋土挡墙动力响应振动台模型试验研究

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岩土力学 2024年第7期45卷 1957-1966页

作者：李福秀郭文灏郑烨炜武汉大学土木建筑工程学院湖北武汉430072

设计并完成了1:4的刚性墙面双面加筋土挡墙振动台试验,在满足相似关系的前提下,通过输入不同幅值的水平向正弦波,分析刚性墙面双面加筋土挡墙的动力响应特性。研究结果表明:两侧加筋区和中部非加筋区的加速度沿着高度方向均呈现出明显... 详细信息

设计并完成了1:4的刚性墙面双面加筋土挡墙振动台试验,在满足相似关系的前提下,通过输入不同幅值的水平向正弦波,分析刚性墙面双面加筋土挡墙的动力响应特性。研究结果表明:两侧加筋区和中部非加筋区的加速度沿着高度方向均呈现出明显的放大效应,并在挡墙顶部达到最大值。随着加载幅值的增加,双面加筋土挡墙顶部的最大放大系数主要分为3个阶段,分别是平稳段、上升段与衰减段。最大墙面位移和残余位移沿着高度方向呈线性增大。当加载幅值未超过临界加速度时,位移量较小;而加载幅值超过临界加速度时,位移会迅速增大。同时,临界加速度对双面加筋土挡墙的变形模式有着决定性作用。刚性墙面双面加筋土挡墙的筋材动应变增量随着加载幅值持续施加而不断增大。底层的最大筋材应变增量出现在连接处,且沿着高度方向,最大筋材应变增量的位置不断向内部移动。

关键词：土工合成材料加筋土挡墙刚性墙面振动台试验动力响应

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在红枣汁中乳酸菌、酵母菌单一及偶联发酵特征物质差异分析

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现代食品科技 2024年第5期40卷 64-72页

作者：张江宁叶峥杨春山西农业大学山西功能食品研究院山西太原030031

该试验以红枣为原料,研究乳酸菌、酵母菌单一及偶联发酵对枣汁总糖、总酸、总酚、黄酮和酒精含量的影响,使用液相色谱-质谱联用(Liquid Chromatograph-Mass Spectrometer,LC-MS)技术进行游离型酚酸差异分析,气相色谱-离子迁移谱联用(Gas... 详细信息

该试验以红枣为原料,研究乳酸菌、酵母菌单一及偶联发酵对枣汁总糖、总酸、总酚、黄酮和酒精含量的影响,使用液相色谱-质谱联用(Liquid Chromatograph-Mass Spectrometer,LC-MS)技术进行游离型酚酸差异分析,气相色谱-离子迁移谱联用(Gas Chromatography-Ion Migration Spectrum,GC-IMS)技术进行挥发性有机物差异分析。结果表明,原枣汁无论是单一菌种发酵还是混合菌种发酵,总糖、黄酮含量降低,总酸、总酚含量、酒精度均增加,反式阿魏酸、4-羟基苯甲酸、氢化肉桂酸、香草酸、苯甲酸、丁香酸增加;酵母菌发酵枣汁总酚、黄酮、酒精度、苯丙氨酸、儿茶素、表儿茶素、丁香酸、芥子酸含量均高于乳酸菌发酵枣汁,总酸含量低于乳酸菌发酵枣汁;经混菌偶联发酵,糖类物质降解效率、产酸效率、总酚生成率、黄酮留存率以及产酒精效率更高;游离型酚酸反式阿魏酸、反式肉桂酸、香草酸、没食子酸、对香豆酸、苯甲酸、原儿茶酸、咖啡酸、丁香酸较单菌发酵样品高;挥发性成分53种,包括11种醇类化合物、9种酯类化合物、8种酮类化合物、8种醛类化合物、2种酸类化合物、2种吡嗪吡嗪类化合物,混菌发酵样品中风味物质酯类、醇类、醛类分别占17.2%、58.2%、和1.3%,酯类和醛类显著高于乳酸菌发酵样品、酵母菌发酵样品及原枣汁,香味浓烈,因此采用酵母菌、乳酸菌混合发酵,可以有效地增强发酵枣汁的品质,丰富口感,该研究为推动混菌发酵在红枣酵素发酵生产行业的应用,提供相应的理论基础和科学实践依据。

关键词：红枣混菌发酵游离型酚酸风味物质

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“数商兴农”背景下浙江农村电商发展路径探究

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广东蚕业 2024年第5期58卷 100-103页

作者：郑野浙江农业商贸职业学院浙江绍兴312088

近几年,浙江农村电商发展成效显著,但仍存在农村电商培训未满足电商发展需求、农村物流体系建设不完善、农产品品牌化程度和标准化不高等问题。针对这些问题,文章建议构建农村电商领域新农民培育体系,着力发展农村物流产业、健全物流服... 详细信息

近几年,浙江农村电商发展成效显著,但仍存在农村电商培训未满足电商发展需求、农村物流体系建设不完善、农产品品牌化程度和标准化不高等问题。针对这些问题,文章建议构建农村电商领域新农民培育体系,着力发展农村物流产业、健全物流服务体系,加大农产品品牌建设力度、拓宽农产品营销渠道,为浙江农村电商发展开拓新路径。

关键词：数商兴农农村电商发展路径浙江省

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基于随机森林的财务异常数据提取方法

淮阴师范学院学报（自然科学版） 2024年第1期23卷 13-19页

作者：叶正娟合肥科技职业学院经济管理系安徽合肥230000

提出了一种基于随机森林的提取方法.通过明确财务数据具有的信息增益、信息储存量、搜索引擎等多种属性,建立决策树,利用基尼系数计算决策树中每个节点数据的类别值,将同一类别数据归类到同一层次内,若得到的数据特征分布较为混乱,采用... 详细信息

提出了一种基于随机森林的提取方法.通过明确财务数据具有的信息增益、信息储存量、搜索引擎等多种属性,建立决策树,利用基尼系数计算决策树中每个节点数据的类别值,将同一类别数据归类到同一层次内,若得到的数据特征分布较为混乱,采用分割法将所处数据集内的全部数据实施分割,直至迭代得到最为精准的结果.在决策树中引入选择性集成算法,根据得到的特征值,将具有同种特征的数据划分到同一子范畴内,保证特征统一性,在决策树中输入异常数据特征,通过特征查找提取到异常财务数据值.仿真实验证明,所提方法对异常数据的提取精准度高,误检率低,可以最少的迭代次数实现达到较好的结果.

关键词：随机森林决策树基尼系数信息储存量子范畴召回率