Results 21 to 30 of about 14,820 (116)
Representation of obligate groundwater‐dwelling copepod diversity in European protected areas
Conservation Biology, EarlyView.Abstract Groundwaters sustain diverse surface ecosystems and are populated by metazoan species, mostly invertebrates, that provide fundamental ecological functions and are often of prominent conservation value due to narrow endemism and high phylogenetic rarity.
Francesco Cerasoli +7 more
wiley +1 more source
Biodiversity‐driven spatial conservation planning to delineate temporally stable regions
Conservation Biology, EarlyView.Abstract The accelerating loss of biodiversity underscores the critical need for effective conservation strategies, particularly in the face of climate change and anthropogenic pressures. We devised a conservation planning framework that adopts a temporal stacking approach to species distribution models and landscape connectivity analyses. These models
Mattia Iannella +5 more
wiley +1 more source
Zhongguo cuzhong zazhi摘要： 预测模型是用来预测个体发生目标事件概率或预测结局值的统计模型。预测模型结果可视化展现是开发预测模型全流程中必不可少的一部分。良好的预测模型展现形式不仅可以使预测结果具有更好的可读性、可解释性，也在很大程度上决定了其使用方式和便利性。本文将详细介绍各种预测模型的展现形式，并阐述各自的优缺点。随后结合脑血管病临床预测模型研究，通过研究示例逐一介绍不同展现形式在脑血管病研究中的应用。 Abstract: A prediction model is a statistical model ...
金奥铭，谷鸿秋
doaj +1 more source
Scenarios and strategies for future‐proofing ecosystem management under climatic novelty
Conservation Biology, EarlyView.Abstract Climate change is driving unprecedented declines in dominant, habitat‐forming foundation species across marine and terrestrial ecosystems globally. As climatic novelty becomes the norm, ecosystem reassembly will become increasingly common. Predicting and understanding these transitions, and their implications for future ecosystem functioning ...
Lauren T. Toth +14 more
wiley +1 more source
Zhongguo shiyan zhenduanxue, 2018 目的构建2型糖尿病发病风险预测模型。方法在体检人群中招募糖尿病患者53人,非糖尿病患者93人,体检的同时进行相应的基因检测,并填写健康体检自测问卷,收集全部数据采用XGBoost构建2型糖尿病预测模型。结果模型预测的准确率是86.6%,特征重要性评估结果显示,对模型贡献前三名的变量依次是血糖、甘油三酯和SLC30A8基因rs13266634-C位点的等位基因。结论 XGBoost糖尿病发病风险预测模型具有很强的预测能力。
张洪侠 +13 more
doaj
The vibration environment prediction method based on OPAX
Xibei Gongye Daxue Xuebao, 2022 准确获得飞机结构及机载设备的振动环境至关重要, 传统的振动环境预计方法预计准确度低, 可能会导致后期振动环境试验过试验或欠试验的问题。创新性地提出了一种基于扩展工况传递路径分析(OPAX)的振动环境预计方法, 采用实测数据搭建振动环境预计模型, 再利用该模型对新工况下的振动环境进行预计。试验室环境下, 搭建了某型飞机典型设备舱振动测试系统, 基于OPAX方法搭建了机载设备的振动环境预计模型, 并对其预计准确度进行了验证。对比预计结果与试验结果, 得到: ①新工况下模型预计均方根值与试验测试均方根值相比,
LI Yixuan +3 more
doaj +1 more source
Shuitu Baochi Xuebao, 2003 分析了利用神经网络进行时间序列预测的方法及其基本工作原理,并且利用神经 网络建立了土壤水分预测模型.试验结果表明:所建立的模型具有较好的预测效果;用神经网络建立土壤水分预测模型的方法是可行的.
刘洪斌, 武伟, 魏朝富
doaj +2 more sources
Structured machine learning modeling to support conservation of deep‐sea benthic biodiversity
Conservation Biology, EarlyView.Abstract Biodiversity monitoring programs need to deliver accurate, timely, and actionable predictions. To establish a predictive monitoring program for deep‐sea benthos of the Santos Basin, Brazil, we developed a two‐stage structured model that allowed comparison of biodiversity predictions obtained from environmental simulations (2M‐Sim).
Gustavo Fonseca +23 more
wiley +1 more source
Conservation Biology, EarlyView.Abstract Knowledge of species distributions is essential for informing policies on nature conservation and restoration. However, updating them on a regular basis and doing so in a harmonized manner at the international level is difficult. The European Bird Census Council integrated national monitoring data covering 5 years to update farmland bird ...
Sergi Herrando +54 more
wiley +1 more source
Profiling Metacognitive Knowledge and Growth Mindset in EFL Vocabulary Learning
International Journal of Applied Linguistics, EarlyView.ABSTRACT Guided by the self‐regulated learning (SRL) framework, the present study investigates the associations between metacognitive knowledge and growth mindset in EFL (English as a Foreign Language) vocabulary learning, addressing a critical gap in the literature. While metacognitive knowledge, comprising person, task, and strategy dimensions, plays
Weili (Allen) Xing, Mark Feng Teng
wiley +1 more source