Results 21 to 30 of about 1,549 (163)
Mycorrhiza‐induced alterations in the spatial structure of stands in a subtropical forest
Functional Ecology, Volume 40, Issue 3, Page 668-678, March 2026.Read the free Plain Language Summary for this article on the Journal blog. Abstract Spatial aggregation patterns represent snapshots of ecological processes that occurred over an extensive period. Such processes can shape both the conspecific and the heterospecific spatial structure of plants across woody habitats.
Jingjing Xi +6 more
wiley +1 more source
Metabonomics Analysis of Brain Stem Tissue in Rats with Primary Brain Stem Injury Caused Death [PDF]
, 2023 Objective To explore the potential biomarkers for the diagnosis of primary brain stem injury （PBSI） by using metabonomics method to observe the changes of metabolites in rats with PBSI caused death.
Qin SU, Qian-ling CHEN, Wei-bin WU, Qing-qing XIANG, Cheng-liang YANG, Dong-fang QIAO, Zhi-gang LI
core +1 more source
Integrative Conservation, Volume 4, Issue 4, Page 641-651, December 2025.Key Largo woodrats are a small and endangered island species, whose individuals tend to occur in family groups. Isolation from mainland populations, predation, and habitat fragmentation have caused genetic drift, leading to low overall diversity. Here, we found that a major category 4 hurricane promoted genetic diversity in the Key Largo woodrat ...
Taylor Ackley +5 more
wiley +1 more source
Shuitu Baochi Xuebao, 2023 森林碳库在全球碳循环中发挥着重要的作用。为深入了解山西省中条山区森林植被碳密度的时空动态变化及其影响因素,以2005—2015年3期国家森林资源连续清查数据为基础,通过随机森林和结构方程模型,定量研究了森林植被的碳密度以及各驱动因子对碳密度空间分布的贡献度。结果表明:(1)2005年、2010年、2015年中条山森林植被碳密度和碳储量分别为24.87,26.56,31.42 Mg C/hm2和15.89,16.00,20.15 Tg C,二者均呈持续增加趋势,年均增长率分别为2.63%和2.68%。(2)
段兰兰 +4 more
doaj
, 2010 提出一种基于量子粒子群和随机森林封装的特征选择方法。将量子粒子群算法用于特征选择,优化特征子集,采用随机森林分类器评价特征子集的性能,指导特征子集更新 ...
杨明旭, 洪文财, 米红
core
World Medical &Health Policy, Volume 17, Issue 4, Page 823-830, December 2025.ABSTRACT Sepsis is a leading cause of mortality in the United States, with over 350,000 deaths annually, yet the contribution of neighborhood‐level social determinants of health (SDoH) remains underexplored. We conducted a retrospective analysis of 4.4 million hospitalized patients with sepsis, identified using ICD‐10 codes, leveraging de‐identified ...
Ahad Khaleghi Ardabili +3 more
wiley +1 more source
Several Research on Random Forest Improvement [PDF]
, 2014 在机器学习领域，随机森林是一种重要和常见的数据挖掘方法。随机森林不 仅具有很高的分类性能，而且具有需要调整的参数较少、运算快速高效、不用担 心过拟合以及较强的容忍噪声能力等特点。随机性能良好的性能使得其在智能信 息处理、生物信息学、金融学、故障诊断、图像识别、工业自动化等领域得到了 广泛的应用并取得巨大的成功，吸引了人们的广泛关注。 虽然许多学者对随机森林进行了广泛的研究，并且取得了许多显著的成果， 但是随机森林仍然存在一些局限和不足，拥有一些可改进的空间 ...
李贞贵
core
Finding floral and faunal species richness optima among active fire regimes
Conservation Biology, Volume 39, Issue 6, December 2025.Abstract Changing fire regimes have important implications for biodiversity and challenge traditional conservation approaches that rely on historical conditions as proxies for ecological integrity. This historical‐centric approach becomes increasingly tenuous under climate change, necessitating direct tests of environmental impacts on biodiversity.
Zachary L. Steel +8 more
wiley +1 more source
基于随机森林与长短时记忆神经网络的真空接触器故障诊断方法研究
Gaoya dianqi, 2022 针对真空接触器的渐发性故障识别准确率不高的现状，提出了一种基于随机森林与长短时记忆神经网络的故障诊断方法。文中分析了某型号12 kV真空接触器在机械保持工作情况下合闸线圈电流信号的故障特征，构建了两层诊断模型，在初步诊断中利用随机森林分类器，识别特征明显的突发性故障，利用长短记忆神经网络模型发掘数据时序特征的特点，识别渐发性故障，在最终诊断中利用证据融合将两者结果融合。文中提出的故障诊断模型有效解决了传统故障诊断方法对渐发性故障识别困难的不足，实验表明，该方法对渐发性故障识别准确率达到了91.1%以上 ...
袁钰林 +4 more
doaj