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Assessing Biomass Expansion Factor of Birch Tree <i>Betula utilis</i>D. DON 被引量:1
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作者 Khurshid Alam Syed Moazzam Nizami 《Open Journal of Forestry》 2014年第3期181-190,共10页
Biomass is the component of living organism and mostly obtained from plants, animals, insects and the residue of all the mentioned organisms. Biomass is the key source of energy present in the form of organic matter. ... Biomass is the component of living organism and mostly obtained from plants, animals, insects and the residue of all the mentioned organisms. Biomass is the key source of energy present in the form of organic matter. The study aimed to find out biomass and its variation in each component of Betula utilis D. Don (Birch Tree) with varying diameter at Kalam forest division Swat, Khyber Pakhtunkhwa (KPK) province, Pakistan. The biomass of different components was determined by non-destructive methods. Overall, 30 trees were selected from different diameter classes viz a viz up to 10, 11 - 20 and greater than 20 cm. Ten trees were selected from each class. The diameter of stem and large branches and their length were measured in the field. Later, the volumes of stem and branches were calculated and converted into biomass. The study revealed that stem contributes 42.65% biomass followed by large and sub branches as 39.22% and 13.54% respectively. Leaves contribute 4.59% only. The above tree biomass contribution by different components was arranged as stem was greater than large branches;these were greater than sub branches and the lowest was in leaves. The total above ground biomass of single tree was 20.59, 58.041 and 197.214 kg·tree-1 respectively for diameter up to 10, 11 - 20 and greater than 20 cm. The averaged biomass in all diameter classes was 91.95 ± 93.064 kg·tree-1. The total biomass of single tree of diameter class up to 10, 11 - 20 and greater than 20 cm was 24.71, 69.649 and 236 kg respectively. The below ground biomass of single tree of diameter class up to 10, 11 - 20 and greater than 20 cm was 4.11 ± 1.24 kg, 11.61 ± 3.56 kg and 39.44 ± 8.9 kg respectively. The biomass expansion factor was 1.34, 1.47, and 1.5 t·m-3 respectively for diameter classes up to 10 cm, 11 - 20 cm and greater than 20 cm respectively. The mean biomass expansion factor for all diameter classes was 1.44 t·m-3. 展开更多
关键词 BIOMASS Allocation BIOMASS Expansion factor BIRCH tree
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Which climatic factors limit radial growth of Qilian juniper at the upper treeline on the northeastern Tibetan Plateau? 被引量:9
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作者 ZHANG Hui SHAO Xuemei ZHANG Yong 《Journal of Geographical Sciences》 SCIE CSCD 2015年第10期1173-1182,共10页
There are differing views regarding the climatic factors that limit radial growth of Qilian juniper (Juniperus przewalskii Kom.) at the upper treelines on the northeastern Tibetan Plateau. In this study, trees from ... There are differing views regarding the climatic factors that limit radial growth of Qilian juniper (Juniperus przewalskii Kom.) at the upper treelines on the northeastern Tibetan Plateau. In this study, trees from an upper tree northeastern Tibetan Plateau were selected to limits the radial growth of Qilian juniper. Using ine site in the Anyemaqen Mountains of the present new evidence that low temperature a signal-free regional curve standardization (SF-RCS) method, a ring-width chronology for Qilian juniper was developed extending from AD 1082 to 2010. The results of correlation analysis between tree-ring index and instrumental climatic variables showed that both winter (December in the previous year and January in the current year) and summer (July and August in the current year) temperatures were signifi- cantly and positively correlated with the tree-ring index. Precipitation in June was also significantly and positively correlated with the tree-ring index, but was not as important as low temperature in controlling tree growth. To test the key limiting climatic factor for tree radial growth at different altitudes, an indicator termed the "relative distance to upper treeline" (RDUT) was developed to quantify the representativeness of collected samples for the forest's upper treeline. The RDUT showed that the upper 20% of the forest belt may be an important boundary in terms of capturing the temperature signal from tree-ring width at the upper treelines on the northeastern Tibetan Plateau. Our findings enhance the existing understanding that temperature is the limiting factor at upper treelines on the northeastern Tibetan Plateau, and will be useful in the reconstruction of past temperature in future studies. 展开更多
关键词 Qilian juniper climatic limiting factor upper treeline Tibetan Plateau tree-ring width
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Factors Affecting Tree Husbandry and Woodlots Establishment in Kilimanjaro Region, Tanzania
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作者 Revocatus Petro Francis Laswai +2 位作者 Mohammed Mijai Geofrey Nyaradani Chelestino Balama 《Open Journal of Soil Science》 2015年第8期169-180,共12页
The study on assessment of factors affecting tree husbandry and woodlots establishment was carried out between September and November 2014 in all seven districts of Kilimanjaro region, namely Hai, Siha Rombo, Mwanga, ... The study on assessment of factors affecting tree husbandry and woodlots establishment was carried out between September and November 2014 in all seven districts of Kilimanjaro region, namely Hai, Siha Rombo, Mwanga, Same, Moshi Rural and Moshi Municipal Council (MMC). A purposive sampling design was employed whereby two wards per district were selected for the study. Household questionnaire survey was used in data collection. Results show that, factors affecting tree husbandry and woodlots establishment in Kilimanjaro region are gender, livelihood activities, access and ownership/land tenure, cultural factors, legal issues and by-laws insisting people to plant trees. About 32.4%, 32.4% and 30% of all respondents own land with size of 1.0 acre and below, 1.1 - 2.0 and 2.1 - 5.0 acres respectively. Respondents from Hai (55.3%), Same (26.3%), Rombo (11%) and MMC (8%) agreed that cultural issues affect tree husbandry. About 1%, 23%, 30% and 40.8% of respondents in Siha, Same, Hai and Rombo districts respectively agreed that some of by-laws insist people to plant trees on their environments. None of the respondents from any district reported labour availability to be one of the factors affecting tree husbandry. Other factors reported to affect tree husbandry in Kilimanjaro region were capacity building in tree planting and tending, insect pests, diseases and climate change. Formulation of by-laws which insist on tree planting and limit land degradation is recommended at village level. Every piece of land should be planned and used sustainably including area for tree planting. Custom and norms which inhibit women to plant trees should be prohibited through capacity building. 展开更多
关键词 SOCIO-CULTURAL factors tree HUSBANDRY WOODLOTS KILIMANJARO Tanzania
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Analysis of Short-Shoot Fuji Apple Tree Structure and Correlative Factors
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作者 Jie HAO Xiangmin SUO +4 位作者 Xueying LI Liang WEI Xinmin YAN Xian’ge WANG Jianzhong FENG 《Asian Agricultural Research》 2017年第6期86-88,共3页
In order to clarify the correlation between short-shoot Fuji apple tree structure and different factors under different trimming and pruning modes,we investigate the trunk taperingness of free-spindle short-shoot Fuji... In order to clarify the correlation between short-shoot Fuji apple tree structure and different factors under different trimming and pruning modes,we investigate the trunk taperingness of free-spindle short-shoot Fuji and slender-spindle short-shoot Fuji,respectively,as well as the total thickness,average thickness,total length and average length of small main branches in the standard demonstration apple garden in Xingtang County of Hebei Province. By SPSS analysis,we study the correlation between trunk taperingness of trees with different shapes and the growth indices of their small main branches. The results show that the trunk taperingness of free-spindle short-shoot Fuji apple is negatively correlated with the total thickness,average thickness,total length and average length of small main branches,but the correlation is not significant; the trunk taperingness of slender-spindle short-shoot Fuji apple is negatively correlated with the total thickness but positively correlated with other factors,and the correlation with average length reaches a significant level. The results of this study can provide a scientific basis for guiding the high-density dwarf rootstock short-shoot Fuji apple tree trimming technology. 展开更多
关键词 Short-shoot Fuji tree structure Analysis of correlative factors
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老年下肢动脉硬化闭塞症病人术后衰弱的影响因素及预测模型的构建
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作者 叶璐娟 刘珍英 王翠丽 《全科护理》 2026年第2期224-229,共6页
目的:分析老年下肢动脉硬化闭塞症(LEASO)病人术后衰弱的影响因素,并构建相关决策树模型。方法:回顾性选取2022年1月—2024年12月医院收治的260例老年LEASO病人的临床资料,根据病人术后是否发生衰弱分为衰弱组(n=67)和对照组(n=193)。采... 目的:分析老年下肢动脉硬化闭塞症(LEASO)病人术后衰弱的影响因素,并构建相关决策树模型。方法:回顾性选取2022年1月—2024年12月医院收治的260例老年LEASO病人的临床资料,根据病人术后是否发生衰弱分为衰弱组(n=67)和对照组(n=193)。采用Logistic回归分析老年LEASO病人术后衰弱的影响因素,并构建相关决策树预测模型。结果:260例老年LEASO病人中,共67例术后发生衰弱,发生率为25.77%。Logistic回归分析结果显示,年龄≥70岁[OR=4.184,95%CI(2.003,8.740)]、独居[OR=3.155,95%CI(1.609,6.190)]、手术时长>90 min[OR=2.212,95%CI(1.148,4.261)]、术前血红蛋白<110 g/L[OR=2.257,95%CI(1.126,4.525)]、术前白蛋白<35 g/L[OR=4.382,95%CI(2.164,8.875)]是老年LEASO病人术后衰弱的危险因素(P<0.05);根据危险因素构建的决策树模型共3层,13个节点,7个终端节点,模型选择术前白蛋白、年龄、居住情况、术前血红蛋白、手术时长共5个指标为节点,其中术前白蛋白水平是老年LEASO病人术后衰弱最重要的因素;模型验证结果显示,曲线下面积(AUC)为0.803[95%CI(0.740,0.861)]。结论:年龄≥70岁、术前血红蛋白<110 g/L、独居、手术时长>90 min、术前白蛋白<35 g/L是老年LEASO病人术后衰弱的危险因素,以此构建的决策树模型具有良好的预测效能。 展开更多
关键词 老年 下肢动脉硬化闭塞症 衰弱 危险因素 决策树 预测模型
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东北中温带森林树种多样性和环境因子对土壤多功能性的影响
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作者 毛慧 赵飞飞 +1 位作者 李杰 张春雨 《林业科学》 北大核心 2026年第2期40-52,共13页
【目的】探究东北中温带森林树种多样性和环境因子对土壤多功能性的驱动机制,深化对自然条件下环境因子影响土壤多功能性的认识,明晰树种多样性-土壤多功能性关系的变化规律,为森林保护与管理提供科学依据。【方法】基于东北中温带森林... 【目的】探究东北中温带森林树种多样性和环境因子对土壤多功能性的驱动机制,深化对自然条件下环境因子影响土壤多功能性的认识,明晰树种多样性-土壤多功能性关系的变化规律,为森林保护与管理提供科学依据。【方法】基于东北中温带森林279块样地数据,选取土壤总有机碳含量、总氮含量、总磷含量、有效氮含量和有效磷含量5个土壤功能指标,采用平均值法计算土壤多功能性指数,运用多元线性回归和结构方程模型探讨大气氮沉降通量、气候和地形等环境因子对树种多样性-土壤多功能性关系的影响及土壤多功能性的驱动机制,分析树种多样性与上述环境因子的交互效应。【结果】1)树种多样性对土壤总有机碳含量、总磷含量、总氮含量、有效氮含量和土壤多功能性指数产生显著正效应(β=0.31、0.27、0.34、0.34、0.22,P<0.05),对土壤有效磷含量产生显著负效应(β=-0.16,P<0.05);氮沉降通量与土壤总有机碳含量、总磷含量、总氮含量、有效氮含量和土壤多功能性指数呈显著负相关(β=-0.14、-0.35、-0.17、-0.22、-0.18,P<0.05);土壤pH值与总磷含量、有效磷含量和土壤多功能性指数呈显著正相关(β=0.17、0.44、0.15,P<0.05);土壤碳氮比与总有机碳含量、总氮含量和土壤多功能性指数呈显著正相关(β=0.38、0.16、0.13,P<0.05);2)树种多样性与部分土壤单功能指标和土壤多功能性指数的关系受氮沉降通量和土壤碳氮比交互作用的调控,表现为树种多样性对土壤总有机碳含量、总磷含量、总氮含量和土壤多功能性指数的正效应在中高氮沉降环境下随土壤碳氮比增加而减弱,在低氮沉降环境下则随土壤碳氮比增加而增强;3)结构方程模型表明,氮沉降通量既可对土壤多功能性指数直接产生负效应(β=-0.19,P<0.01),也可通过土壤pH值和碳氮比间接产生负效应;气候因子主要通过树种多样性和土壤pH值间接影响土壤多功能性指数,地形因子则通过树种多样性、土壤pH值和碳氮比间接影响土壤多功能性指数;土壤pH值通过影响树种多样性间接调控土壤多功能性指数。【结论】树种多样性、氮沉降通量、土壤pH值和碳氮比是驱动土壤多功能性的关键直接因子,气候和地形因子通过调控生物与非生物因子产生间接影响,树种多样性对土壤多功能性的正效应受氮沉降通量与土壤碳氮比的调节。本研究结果强调大气氮沉降背景下应注重对土壤pH值和土壤碳氮比的调控,这有助于生物多样性的保护和森林生态系统功能的维持。 展开更多
关键词 土壤多功能性 树种多样性 环境因子 土壤碳氮比 土壤PH值
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牡丹TCP基因家族鉴定及TCP15a功能分析
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作者 韩新蕊 袁欣 +5 位作者 高杰 王亮生 王晓晖 贾文庆 符真珠 张和臣 《植物学报》 北大核心 2026年第1期37-52,共16页
为探明TCP转录因子家族在牡丹(Paeonia×suffruticosa)花瓣呈色过程中的作用,为牡丹花色改良和分子育种提供候选基因,对牡丹TCP家族基因进行鉴定和生物信息学分析,并对可能参与花色调控的基因TCP13和TCP15a进行功能分析。结果表明,... 为探明TCP转录因子家族在牡丹(Paeonia×suffruticosa)花瓣呈色过程中的作用,为牡丹花色改良和分子育种提供候选基因,对牡丹TCP家族基因进行鉴定和生物信息学分析,并对可能参与花色调控的基因TCP13和TCP15a进行功能分析。结果表明,在3个牡丹基因组中共鉴定出26个TCP家族成员,分为2个亚族3个亚类,不规则分布在5条染色体上;不同成员的理化性质和基因结构存在差异,但均含有TCP保守结构域。在矮牵牛(Petunia hybrida)花瓣中瞬时表达TCP13和TCP15a,发现TCP13对MYB57诱导的紫色表型无明显作用,而TCP15a可显著抑制该表型;荧光定量PCR分析表明,TCP15a可以显著抑制MYB57诱导浸染的花瓣组织内花青素苷合成酶基因CHSa、DFR和ANS的表达。进一步通过蛋白互作鉴定发现,TCP15a与MBW蛋白复合体成员WD40-1和WD40-2互作。TCP15a通过与MYB57竞争与WD40的相互作用,影响MBW复合体的形成,进而抑制MYB57对花青素苷合成酶基因的调控作用。研究结果为阐明牡丹TCP家族基因功能奠定理论基础,为牡丹花色定向育种提供了有价值的线索。 展开更多
关键词 牡丹 花色 TCP转录因子家族 功能分析
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平方树中的P_(k)-因子
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作者 冯星 李佳林 《集美大学学报(自然科学版)》 2026年第1期121-126,共6页
如果H是图G的一个生成子图,并且H的每个连通分支都是包含k个顶点的路,则称生成子图H是图G的一个P_(k)-因子。图G的平方图G^(2)的顶点集为V(G),且在G^(2)中两顶点相邻当且仅当这两顶点在图G中距离小于等于2。文中主要研究了图的P_(k)-因... 如果H是图G的一个生成子图,并且H的每个连通分支都是包含k个顶点的路,则称生成子图H是图G的一个P_(k)-因子。图G的平方图G^(2)的顶点集为V(G),且在G^(2)中两顶点相邻当且仅当这两顶点在图G中距离小于等于2。文中主要研究了图的P_(k)-因子问题,通过树的特殊结构刻画了一些图的参数之间的关系,得到了在树的平方图中存在P_(k)-因子的一个必要条件。最后,构造了两类满足结论中不等式取等的无穷图类。 展开更多
关键词 路径因子 P_(k)-因子 平方图
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基于GeoShapley算法的长春市城郊土壤砷含量局部主控因子探究
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作者 邹心颖 闫庆武 +2 位作者 吴子豪 祝元丽 陈奕云 《中国环境科学》 北大核心 2026年第1期289-300,共12页
基于长春市城郊200个土壤砷样本,结合极限梯度提升树与GeoShapley算法,探究砷与环境因子间的异质性、非线性关系,并识别影响土壤砷含量的局部主控因子及来源.结果表明:(1)极限提升树模型优于地理加权回归和多尺度地理加权回归模型,其拟... 基于长春市城郊200个土壤砷样本,结合极限梯度提升树与GeoShapley算法,探究砷与环境因子间的异质性、非线性关系,并识别影响土壤砷含量的局部主控因子及来源.结果表明:(1)极限提升树模型优于地理加权回归和多尺度地理加权回归模型,其拟合和预测R^(2)分别为0.958和0.729;(2)GeoShapley的结果显示,锰含量的平均贡献率居首位,是影响土壤砷最显著的特征变量,而空间位置的特征重要性排名第二,证实了考虑空间坐标的必要性;(3)结合影响因子的Geoshapley空间分布图集发现,锰含量、碱解氮和硫含量是99%样本点砷含量的首要影响特征,表明母质和农业生产是砷的主要来源;(4)非线性关系图显示砷含量与各环境变量之间均存在阈值效应,特别是当锰含量高于2g/kg、碱解氮高于175mg/kg、硫含量低于20mg/kg时,砷含量达到峰值,在污染防控时应予以特别关注.本文证实了Geoshapley算法的优越性和考虑空间位置因素的必要性. 展开更多
关键词 土壤砷含量 城郊地区 GeoShapley 极限提升树 局部影响因子
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基于决策树算法的肺癌术后患者自我管理潜在剖面分类及其影响因素
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作者 谢卉 张慧 +3 位作者 何佳星 张霞 邓琴芬 汪芬芬 《护理实践与研究》 2026年第2期182-191,共10页
目的 探讨肺癌术后患者自我管理的潜在剖面分类,并基于决策树算法分析其影响因素。方法 选取2023年5月—2025年4月医院收治的380例肺癌术后患者作为调查对象,采用一般资料调查表、肺癌生存者自我管理行为评估量表、焦虑自评量表(SAS)、... 目的 探讨肺癌术后患者自我管理的潜在剖面分类,并基于决策树算法分析其影响因素。方法 选取2023年5月—2025年4月医院收治的380例肺癌术后患者作为调查对象,采用一般资料调查表、肺癌生存者自我管理行为评估量表、焦虑自评量表(SAS)、抑郁自评量表(SDS)、社会支持评定量表(SSRS)、简易疾病感知问卷(BIPQ)进行调查。运用潜在剖面分析患者自我管理的潜在分型,采用决策分类回归树(CRT)算法探讨潜剖面分类的核心影响因素。结果 肺癌术后患者自我管理可分为“低自我管理型”“中等自我管理型”“高自我管理-缺乏沟通型”3个潜在类别。单因素分析结果显示,三组患者的年龄、教育水平、SSRS得分、SDS得分、SAS得分、BIPQ得分比较,差异均有统计学意义(P<0.05)。决策树CRT算法模型显示,肺癌术后患者自我管理潜在剖面类别的影响因素为年龄、教育水平、SSRS得分、SDS得分、BIPQ得分,影响因素的重要性排序为BIPQ得分>教育水平>SSRS得分>SDS得分>年龄。结论 肺癌术后患者自我管理呈现异质性,可归为3个潜在类别,其中疾病感知是其核心影响因素,提示可通过构建以疾病感知为核心的干预方案,以提高患者自我管理水平。 展开更多
关键词 肺癌 自我管理 潜在剖面 决策树算法 影响因素
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树轮生理模型研究进展——以V-S,TREE-RING和MAIDENiso模型为例 被引量:5
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作者 贺敏慧 杨保 《第四纪研究》 CAS CSCD 北大核心 2015年第5期1261-1270,共10页
树轮生理模型能够揭示树木生长与外界环境关系的内在机制.模型允许不同时期有不同的生长限制因子,避免了树木生长对气候响应的敏感性随时间变化等问题.应用模型的一个显著优点即是能够分析树木生长与气候因子的非线性关系,定量区分不同... 树轮生理模型能够揭示树木生长与外界环境关系的内在机制.模型允许不同时期有不同的生长限制因子,避免了树木生长对气候响应的敏感性随时间变化等问题.应用模型的一个显著优点即是能够分析树木生长与气候因子的非线性关系,定量区分不同环境因子对树木生长的贡献权重,为树轮气候学和树轮生态学研究提供生理基础.本文以V-S模型、TREE-RING模型和MAIDENiso模型为例,详细评述了模型的形成背景、运行机制、应用和各自的优缺点.比较而言,V-S模型的物理过程简单,对实测数据的要求在一般的树轮研究样点就可得到满足,应用范围广泛,目前已被成功用于分析不同气候区树木生长与外界环境因子关系的研究中.结合在青藏高原东北部的实测数据,分析发现祁连圆柏生长主要受当地水分条件的限制,验证了此前基于统计结果的可靠性.TREE-RING和MAIDENiso模型的物理过程更为完善,能够分析工业革命以来大气CO_(2)浓度增加对树木生长的影响,但对实测数据要求较高,如对日降水中δ18O值的需求,应用范围受限.整体而言,树轮生理模型已取得了长足的发展,不断深化了人们对树木生长与气候因子关系的理解.模型的进一步优化与改进有待于对全球变化背景下树木生理生态交互过程及非气候因子影响的深入研究. 展开更多
关键词 树轮序列 机理研究 模型应用 气候因子 CO_(2)浓度变化
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列线图、决策树构建的膝关节骨关节炎预测模型分析和比较
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作者 刘小玉 黄军 +3 位作者 漆琴 昝梦娟 阳绪银 文政 《四川医学》 2026年第2期152-158,共7页
目的探究膝关节骨关节炎(KOA)的影响因素,并构建列线图预警模型。方法选取2022年1月至2024年3月在我院就诊的625例受试者进行问卷调查,调查KOA患病情况,共收回600份问卷。根据有无KOA将受试者分为发生组(n=96)和未发生组(n=504),收集两... 目的探究膝关节骨关节炎(KOA)的影响因素,并构建列线图预警模型。方法选取2022年1月至2024年3月在我院就诊的625例受试者进行问卷调查,调查KOA患病情况,共收回600份问卷。根据有无KOA将受试者分为发生组(n=96)和未发生组(n=504),收集两组研究对象的相关资料,进行差异性比较,采用单因素、多因素Logistic回归分析KOA危险因素,以此构建列线图和决策树预警模型,并使用Bootstrap法(B=1000)对列线图预警模型进行内部验证。使用受试者工作特征(ROC)曲线下面积(AUC)评估两种模型预测效能,并采用Delong检验两种模型差异。结果单因素分析结果显示,两组研究对象在年龄、体质指数(BMI)、工作性质、高强度锻炼习惯、膝关节内外翻畸形、KOA家族史、高血脂方面差异均有统计学意义(均P<0.05)。多因素回归分析结果显示,高龄、高BMI、高强度锻炼习惯和膝关节内外翻畸形均为KOA的独立危险因素(均P<0.001)。ROC分析结果显示,年龄、BMI、高强度锻炼习惯、膝关节内外翻畸形、决策树模型及列线图预警模型的AUC分别为0.782、0.771、0.635、0.629、0.830、0.903。当取cut-off时,各自敏感度分别为0.792、0.563、0.917、0.976、0.792、0.865,特异度分别为0.677、0.857、0.354、0.281、0.738、0.823。采用Delong检验比较决策树模型和列线图模型的AUC差异,结果显示列线图模型AUC优于决策树模型(Z=4.536,P<0.001),表明列线图预警模型的预测效能最优。通过Bootstrap法(B=1000)行内部验证,C-index为0.805,表明KOA预警模型有良好稳定性;决策分析表明,该模型均能带来净收益,明显优于无效策略。结论高龄、高BMI、高强度锻炼习惯和膝关节内外翻畸形是KOA的独立危险因素。基于危险因素构建的列线图预警模型预测效能优于决策树模型,具有较高的预测效能和良好的稳定性。 展开更多
关键词 膝关节骨关节炎 危险因素 LOGISTIC回归 ROC 决策树模型 列线图预警模型
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基于FP-tree增长算法的影响愤怒郁怒人群睡眠质量的强关联因素挖掘
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作者 张玲 郝志 +2 位作者 魏盛 孙鹏 乔明琦 《世界科学技术-中医药现代化》 2015年第8期1595-1601,共7页
目的:基于频繁模式树(Frequent Pattern-tree,FP-tree)增长算法挖掘影响愤怒郁怒人群睡眠质量的强关联因素。方法:设计了构造FP-tree的算法和挖掘频繁项集的算法,采用FP-Tree增长算法,通过状态树记录扫描的数据库信息,通过减少项目集的... 目的:基于频繁模式树(Frequent Pattern-tree,FP-tree)增长算法挖掘影响愤怒郁怒人群睡眠质量的强关联因素。方法:设计了构造FP-tree的算法和挖掘频繁项集的算法,采用FP-Tree增长算法,通过状态树记录扫描的数据库信息,通过减少项目集的搜索空间,一次扫描数据库生成满足最小支持度要求的频繁项目集,实现了情志病证数据库对愤怒郁怒人群影响睡眠质量各种强关联因素的挖掘。结果:影响愤怒郁怒人群睡眠质量最频繁的关联因素是呼吸不畅、咳嗽或鼾声高、感觉冷、感觉热或做噩梦,程序分析总的时间是2 s。结论:基于FP-tree的频繁项集挖掘算法能有效实现对情志病证数据库海量数据中有用信息的针对性挖掘。 展开更多
关键词 频繁项集 FP-tree 关联因素 愤怒/郁怒 数据挖掘
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基于分层修正因子的配网线路复杂环境电场建模研究
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作者 夏俊杰 胡南南 +5 位作者 赵梓钧 朱珠 温立师 符靖凡 张会歌 杨家全 《电力科学与工程》 2026年第1期1-11,共11页
在配网线路带电作业过程中,电场分布的精确预测对安全规划至关重要,在现有方法中,经验法和解析法应用场景有限、仿真法计算速度慢、机器学习法难以物理解释。基于此,结合物理经验公式与机器学习方法,提出了一种分层混合电场建模框架,并... 在配网线路带电作业过程中,电场分布的精确预测对安全规划至关重要,在现有方法中,经验法和解析法应用场景有限、仿真法计算速度慢、机器学习法难以物理解释。基于此,结合物理经验公式与机器学习方法,提出了一种分层混合电场建模框架,并对配网线路边导线一侧区域的电场特性进行了建模与验证。首先基于电磁理论与数值分析构建了三相长直导线电场E_(0)的基准经验公式;然后分层引入环境修正因子k_(m),并通过有限元孪生仿真数据对其进行量化;最后使用梯度提升树模型学习k_(m)的非线性关系,将E_(0)与k_(m)相乘得到预测电场。结果表明,模型在仿真数据上的各修正因子的R^(2)均高于0.99,综合电场预测的均方根误差为228 V/m,整体R^(2)达到0.989;模型在现场实测验证中的平均相对误差为14.5%,剔除单个离群点后降至12.8%。研究表明,该模型能在具备物理解释的同时实现高精度、高效率的预测,且具备可拓展性。 展开更多
关键词 配网线路 带电作业 电场预测 分层修正因子 梯度提升树
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基于机器学习的维持性血液透析患者抑郁症状及影响因素研究
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作者 李芳河 叶淑施 周祖木 《中国血液净化》 2026年第3期202-206,共5页
目的本研究旨在探讨维持性血液透析(maintenance hemodialysis,MHD)患者并发抑郁症状及其影响因素。方法研究采用多中心设计,共纳入397例MHD患者,收集患者社会人口学资料、实验室检测指标及患者健康问卷-9(patient health questionnaire... 目的本研究旨在探讨维持性血液透析(maintenance hemodialysis,MHD)患者并发抑郁症状及其影响因素。方法研究采用多中心设计,共纳入397例MHD患者,收集患者社会人口学资料、实验室检测指标及患者健康问卷-9(patient health questionnaire-9,PHQ-9)评分等,并采用单因素分析、Logistic回归和卡方自动交互检测器(Chi-square automatic interaction detector,CHAID)决策树分析方法确定影响因素。结果MHD患者抑郁症状的罹患率为21.91%。Logistic回归分析显示:失眠(OR=2.583,95%CI:1.472~4.533,P<0.001)、糖尿病(OR=1.796,95%CI:1.026~3.144,P=0.040)和乙型肝炎(OR=3.996,95%CI:1.786~8.942,P<0.001)是抑郁症状的独立影响因素。CHAID决策树分析显示失眠(χ^(2)=20.046,P<0.001)、糖尿病(χ^(2)=5.543,P=0.019)、低蛋白血症(χ^(2)=19.198,P<0.001)和β_(2)-微球蛋白(β_(2)-microglobulin,β_(2)-MG)(χ^(2)=10.969,P=0.008)是影响抑郁症状的主要因素。结论失眠、糖尿病、乙型肝炎、低蛋白血症和β_(2)-MG与MHD患者的抑郁症状密切相关。本研究可为早期识别和干预MHD患者的抑郁症状提供科学依据。 展开更多
关键词 机器学习 血液透析 抑郁 危险因素 LOGISTIC回归 CHAID决策树
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小儿热性惊厥发展为癫痫的危险因素及预测模型的构建
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作者 程云 夏明农 +1 位作者 张帆 李凤 《天津医药》 2026年第1期52-57,共6页
目的基于Logistic回归和决策树模型分析小儿热性惊厥发展为癫痫的危险因素并构建预测模型。方法选取210例首次发生热性惊厥的患儿,并进行半年随访(是否发生癫痫),最终完成随访者196例,36例(18.37%)热性惊厥患儿出现癫痫。根据患儿是否... 目的基于Logistic回归和决策树模型分析小儿热性惊厥发展为癫痫的危险因素并构建预测模型。方法选取210例首次发生热性惊厥的患儿,并进行半年随访(是否发生癫痫),最终完成随访者196例,36例(18.37%)热性惊厥患儿出现癫痫。根据患儿是否出现癫痫分为癫痫组(36例)和非癫痫组(160例)。所有患儿在热性惊厥发作后72 h内完成首次脑电图检查,并于3个月后复查。收集患儿的临床资料,包括性别、发病年龄、出生体质量、母亲生育时年龄、分娩方式、贫血情况、首次惊厥性质、惊厥发生次数、首次发作状态、首次惊厥距发热时间、惊厥持续时间(取最长值)、癫痫家族病史、脑电图结果。采用多因素Logistic回归分析热性惊厥发展为癫痫的影响因素;运用Modeler软件构建预测热性惊厥患儿发展为癫痫决策树风险预测模型;绘制受试者工作特征(ROC)曲线,比较不同模型的曲线下面积(AUC)。结果与非癫痫组比较,癫痫组首次惊厥为复杂性惊厥、惊厥发生次数≥2次、首次惊厥距发热时间<24 h、惊厥持续时间≥15 min、脑电图异常占比更高(P<0.01)。多因素Logistic回归分析结果显示,复杂性惊厥、惊厥发生次数≥2次、首次惊厥距发热时间<24 h、惊厥持续时间≥15 min、脑电图异常是热性惊厥患儿发展为癫痫的危险因素(P<0.05)。决策树模型筛选出惊厥发生次数、首次惊厥距发热时间、首次惊厥性质、脑电图为热性惊厥患儿发展为癫痫的重要变量,信息增益依次为0.47、0.27、0.14、0.13。多因素Logistic模型的AUC值为0.838(95%CI:0.764~0.911),决策树模型的AUC值为0.849(95%CI:0.780~0.916),两种模型的AUC比较差异无统计学意义。结论基于决策树算法和Logistic回归模型相结合的方法对识别热性惊厥发展为癫痫的危险因素具有一定的预测价值,可为临床提供参考。 展开更多
关键词 惊厥 发热性 癫痫 决策树 LOGISTIC模型 脑电描记术 危险因素
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The role of climate factors in geographic variation in body mass and wing length in a passerine bird 被引量:7
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作者 Yanfeng Sun Mo Li +3 位作者 Gang Song Fumin Lei Dongming Li Yuefeng Wu 《Chinese Birds》 CSCD 2017年第1期3-11,共9页
Background: Geographic variation in body size is assumed to reflect adaptation to local environmental conditions. Although Bergmann's rule is usually sufficient to explain such variation in homeotherms, some excep... Background: Geographic variation in body size is assumed to reflect adaptation to local environmental conditions. Although Bergmann's rule is usually sufficient to explain such variation in homeotherms, some exceptions have been documented. The relationship between altitude, latitude and body size, has been well documented for some vertebrate taxa during the past decades. However, relatively little information is available on the effects of climate variables on body size in birds.Methods: We collected the data of 267 adult Eurasian Tree Sparrow(Passer montanus) specimens sampled at 48 localities in China's mainland, and further investigated the relationships between two response variables, body mass and wing length, as well as a suit of explanatory variables, i.e. altitude, latitude, mean annual temperature(MAT), annual precipitation(PRC), annual sunshine hours(SUN), average annual wind speed(WS), air pressure(AP) and relative humidity(RH).Results: Our study showed that(1) although the sexes did not differ significantly in body mass, males had longer wings than females;(2) body mass and wing length were positively correlated with altitude but not with latitude;(3) body mass and wing length were negatively correlated with AP and RH, but not significantly correlated with WS. Body mass was positively correlated with SUN and inversely correlated with MAT. Wing length was not correlated with MAT in either sex, but was positively correlated with SUN and negatively correlated with PRC in male sparrows;(4) variation in body mass could be best explained by AP and SUN, whereas variation in wing length could be explained by RH and AP in both sexes. In addition, variation in male sparrows can be explained by SUN, WS and PRC but not in females.Conclusions: Two different proxies of body size, body mass and wing length, correlated with same geographic factors and different climate factors. These differences may reflect selection for heat conservation in the case of body mass, and for efficient flight in the case of wing length. 展开更多
关键词 Body mass Wing length ALTITUDE LATITUDE Climate factor Eurasian tree Sparrow
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Fault-tree Models of Accident Scenarios of RoPax Vessels 被引量:4
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作者 Pedro Antao C. Guedes Soares 《International Journal of Automation and computing》 EI 2006年第2期107-116,共10页
Ro-Ro vessels for cargo and passengers (RoPax) are a relatively new concept that has proven to be popular in the Mediterranean region and is becoming more widespread in Northern Europe. Due to its design characteris... Ro-Ro vessels for cargo and passengers (RoPax) are a relatively new concept that has proven to be popular in the Mediterranean region and is becoming more widespread in Northern Europe. Due to its design characteristics and amount of passengers, although less than a regular passenger liner, accidents with RoPax vessels have far reaching consequences both for economical and for human life. The objective of this paper is to identify hazards related to casualties of RoPax vessels. The terminal casualty events chosen are related to accident and incident statistics for this type of vessel. This paper focuses on the identification of the basic events that can lead to an accident and the performance requirements. The hazard identification is carried out as the first step of a Formal Safety Assessment (FSA) and the modelling of the relation between the relevant events is made using Fault Tree Analysis (FTA). The conclusions of this study are recommendations to the later steps of FSA rather than for decision making (Step 5 of FSA). These recommendations will be focused on the possible design shortcomings identified during the analysis by fault trees throughout cut sets. Also the role that human factors have is analysed through a sensitivity analysis where it is shown that their influence is higher for groundings and collisions where an increase of the initial probability leads to the change of almost 90% of the accident occurrence. 展开更多
关键词 Ship accidents fault trees human factors.
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Family tree and population: Distinction and similarity of the analysis on example of hemophilia 被引量:1
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作者 Andrey N. Volobuev Peter I. Romanchuk Vladimir K. Malishev 《Natural Science》 2013年第9期979-986,共8页
On the basis of Hardy-Weinberg law the distinction in the philosophy of the description of a family tree and a population is considered. With the help of introduction of the equivalent constant mutagen factor both in ... On the basis of Hardy-Weinberg law the distinction in the philosophy of the description of a family tree and a population is considered. With the help of introduction of the equivalent constant mutagen factor both in a family tree and in a population, the analysis of hemophilia is led. Influence of selection at presence of hemophilia is considered. On the basis of idea of Danforth and Haldane about the balance mutagenesis and selection at presence of hemophilia, the inter-relation of selection parameter and the equivalent constant mutagen factor is found. It is shown, that dynamics of development of hemophilia in a family tree and in population are similar. 展开更多
关键词 Alleles Equivalent Constant MUTAGEN factor Family tree POPULATION HEMOPHILIA Balance of Selection and MUTAGENESIS
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基于FP-tree的新能源汽车产业国际竞争力影响因素关联挖掘算法
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作者 邱璜 《湖北理工学院学报》 2024年第4期54-57,80,共5页
为充分挖掘新能源汽车产业国际竞争力影响因素、探究价值增长点,提出了基于FP-tree的影响因素关联挖掘算法。通过构建国际竞争力各指标影响因素的关联规则,分析任意事务数据集中的关联数据,利用最小支持度参数minsup按照从上到下的方式... 为充分挖掘新能源汽车产业国际竞争力影响因素、探究价值增长点,提出了基于FP-tree的影响因素关联挖掘算法。通过构建国际竞争力各指标影响因素的关联规则,分析任意事务数据集中的关联数据,利用最小支持度参数minsup按照从上到下的方式搜索,确定最长的频繁项目集,采用FP-tree关联频繁项目集,设定分支关联性挖掘标准,实现了新能源汽车产业国际竞争力影响因素的挖掘。测试结果表明,设计算法的最小支持度和数据关联挖掘时间较短,置信度分析具有较高的稳定性。 展开更多
关键词 FP-tree 新能源汽车产业 国际竞争力 影响因素 关联规则
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