Results 51 to 60 of about 16,016 (204)
This study identified self‐efficacy as a crucial outcome of nature education, with the potential for achieving long‐term conservation goals. Using a mixed‐methods design, we evaluated the effect of a wildlife course implemented in ten rural elementary schools in China, which significantly increased students' self‐efficacy, and also contributed to pro ...
Zhijian Liang+6 more
wiley +1 more source
We assessed the distribution of 14 threatened agamid lizard species using Species Distribution Modeling to identify hotspots for these species' conservation. Based on the results, high‐priority areas of threatened agamids were projected to occur specially in the wet zone.
Iresha Wijerathne+10 more
wiley +1 more source
Our study addresses the significant knowledge gap regarding the wintering population and habitat utilization of the Yellow‐breasted Bunting (Emberiza aureola) in Nepal, providing crucial insights that can aid in the conservation of this critically endangered species in wintering grounds.
Hem Bahadur Katuwal+6 more
wiley +1 more source
基于收集的189个不锈钢管混凝土构件的轴压试验数据建立了机器学习数据库,采用6种机器学习模型(随机森林、决策树、支持向量机、多层感知器、极端梯度提升和自适应提升)分别对圆形和方形截面不锈钢管混凝土构件进行了轴压承载力预测研究,同时分析了不同参数对机器学习模型预测精度的影响。研究结果表明,上述6种机器学习预测模型中预测精度最高的是极端梯度提升模型,对于圆形和方形截面构件所有参数的预测,该模型的均方根误差分别为0.043 5和0.018 8,且预测值与试验值之比的变异系数分别为0.127和0.166 ...
余琪瑶, 廖飞宇, 陆国兵
doaj +2 more sources
应用ARIMA模型(差分自回归移动平均模型)对圈养亚成体大熊猫24h的取食行为节律时间序列进行分析和预测。根据序列图判断时序数据的平稳性,结合自相关及偏自相关函数确定分析模型为ARIMA(p,d,q)(P,D,Q)8模式。基于Expert Modeler模块和AIC信息评判原则筛选ARIMA模型的最佳阶数组合为ARIMA(0,0,1)(1,1,0)8。模型参数估计均通过显著性检验,预测值的置信区间包括所有实际观测数值。预测值残差的自相关与偏自相关函数值均在置信区间内,残差为白噪声 ...
刘群秀
doaj
Assessment of risk for pre‐eclampsia at mid‐gestation to define subsequent care
ABSTRACT Objective To stratify pregnancy care based on the estimated risk of pre‐eclampsia (PE) from screening at 19–24 weeks' gestation by combinations of maternal risk factors, estimated fetal weight (EFW), mean arterial pressure (MAP) and uterine artery pulsatility index (UtA‐PI).
S. Adjahou+5 more
wiley +1 more source
临床预测模型在医学领域的应用受到越来越多的关注和重视。合理且充足的样本量对预测模型研究的可行性和质量保障具有重要意义。基于此,本文总结了临床预测模型开发和验证中的样本量估算策略,提出了在样本量估算时需重点关注的问题,同时探讨了样本量不足的问题,以期能够帮助研究者合理地估算预测模型所需的样本量,从而提高临床预测模型研究的质量。 Abstract: The application of clinical prediction models in the medical field is receiving
姜英玉,谷鸿秋
doaj +1 more source
作为资金密集型的供电企业,售电收入预算是编制现金流预算的基础。由 于 被 动 依 赖 于 业 务 部 门 售 电 量 的 测 算,财务部门获取信息渠道单一,现有手段难以实现对业务部门预测数据的有效 检 验。为 此 财 务 部 门 可 依 据 公 司 历 年 月 度 售 电 量、售电收入、预算执行情况,层层解剖,纵横挖掘,分别运用移动平均 法、指 数 移 动 平 均 法、自 回 归、HoltWinters方 法 进 行 对 比 测算,最终借助 HoltWinters的建模思想,从收入序列数据中分解出长期 ...
王 恒芳
semanticscholar +1 more source
Read the free Plain Language Summary for this article on the Journal blog. Abstract Forests store substantial amounts of soil organic carbon (SOC), but SOC stocks differ strongly between forest ecosystems dominated by arbuscular mycorrhizal (AM) or ectomycorrhizal (EcM) fungi.
Mengxu Zhang+10 more
wiley +1 more source
ABSTRACT Objective To critically review the literature and synthesize evidence on the incremental yield of prenatal exome sequencing (PES) in fetuses with an apparently normal phenotype with a normal G‐banded karyotype or chromosomal microarray (CMA).
A. Sotiriadis+5 more
wiley +1 more source