Results 21 to 30 of about 17,258 (161)

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, LIU Jijun, LI Kaixiang, BAI Chunyu   +3 more
doaj   +1 more source

Informing spatial conservation prioritization with species’ traits

Conservation Biology, EarlyView.
Abstract New Guinea, the most botanically diverse island on the planet, is the location for one of the boldest conservation initiatives. The Manokwari Declaration aims to achieve 70% conservation designation for the Bird's Head Peninsula. This is 40% higher than the 2022 Global Biodiversity Framework target.
Liam A. Trethowan, Laura Jennings, Haerul Arifin, Renata Borosova, Gemma L. C. Bramley, Marie Briggs, Osanna Chu, Ruth P. Clark, Sally Dawson, Kiran L. Dhanjal‐Adams, Yance de Freitas, James Hartup, Edward G. E. Heatubun, Cecilia Lee‐Grant, Laurensia V. Mapandin, Jonni Marwa, Alison Moore, Agustinus Murdjoko, Carmen Puglisi, André Schuiteman, Dave J. I. Seaman, Nurhaidah Sinaga, Matthew J. Struebig, Anna Trias Blasi, Timothy Utteridge, Maria Voigt, Jimmy F. Wanma, Charlie D. Heatubun   +27 more
wiley   +1 more source

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, Lorenzo Ricci, Mattia Di Cicco, Tiziana Di Lorenzo, Michele Di Musciano, Stefano Mammola, Emma Galmarini, Diana Maria Paola Galassi   +7 more
wiley   +1 more source

中国海上油套管CO₂分段腐蚀预测模型研究

Shiyou jixie, 2015
油套管CO2腐蚀是目前我国海上油气田开发中的难点，常用的腐蚀预测模型多存在适用范围的局限性。机理研究表明，碳钢和低合金钢的腐蚀机理存在温度转变点，腐蚀机理的转变是导致预测模型适用范围受限、超出范围后精度较低的主要原因。针对这一问题，基于目前海上油套管设计使用的半经验腐蚀预测模型，建立了分段腐蚀预测模型。在大量腐蚀试验数据的基础上，建立了碳钢、1Cr、3Cr、9Cr和13Cr钢的腐蚀速率预测模型。误差分析结果表明，分段腐蚀预测模型能有效提高腐蚀速率预测的精度 ...
冯桓榰, 邢希金, 闫伟
doaj  

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, Viviana Cittadino, Ilaria Bernabò, Antonio Romano, Maurizio Biondi, Davide Serva   +5 more
wiley   +1 more source

基于ARMA模型的GIS局部放电发展趋势预测

Gaoya dianqi, 2020
气体绝缘组合电器（gas insulated switchgear,GIS）设备局部放电存在安全隐患,不容忽视。文中采用特高频法研究GIS中典型局部放电过程,建立局部放电缺陷模型,进行大量试验获得数据。提取数据得到局部放电特征量,并采用局部放电特征谱图研究局部放电的特征。对特征量进行筛选、分类,选取不同类型特征量代入自回归移动平均模型中对GIS局部放电发展趋势的预测情况进行分析研究。结果表明:①对于局部放电线性参量,ARMA预测模型可以对其发展趋势进行准确预测,整体预测误差值均在10%以下 ...
何金, 徐轩, 曹梦, 满玉岩, 陈荣, 张春晖, 王檬, 王靖瑞   +7 more
doaj  

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, Elizabeth T. Borer, Deron E. Burkepile, Joan Dudney, Nathan P. Lemoine, Julianna J. Renzi, Kathryn E. L. Smith, Travis A. Courtney, Sara A. Goeking, William M. Hammond, David L. Hoover, Sandra MacFadyen, Michael J. Osland, Joseph E. Townsend, Robert Y. Fidler   +14 more
wiley   +1 more source

用于变压器温度预测的基于物理场数据增强的深度网络

Gaoya dianqi, 2023
深度网络是预测变压器温度以进行火灾预防的常用方法，但标准训练数据的不足将限制预测模型的有效性。文中提出了一种用于变压器温度预测的基于物理场数据增强的深度网络。首先分析了铁心损耗原理，建立了损耗计算模型。然后探讨了变压器内部的热传递机理，并建立了热传递机制模型。将损耗计算模型和热传递机制模型相结合构建出物理场模型。通过对不同参数下变压器温度变化过程进行模拟，收集得到的数据可以用于增强深度网络的训练数据。最后，使用增强后的数据训练深度网络CAT-LSTM以进行温度预测。实验结果表明 ...
钟振鑫, 董玉玺, 张作刚, 黄晓波, 马志学, 王曹   +5 more
doaj  

The Cross‐Linguistic Transfer of Self‐Regulated Learning Strategy Use From L1 to L2: The Moderating Role of L2 Learning Motivation and Exposure

International Journal of Applied Linguistics, EarlyView.
ABSTRACT Self‐regulated learning (SRL) as a key predictor of language learning has been widely studied, but few studies have examined it from a cross‐linguistic perspective. The present study investigated whether first language (L1) SRL strategy use transfers to second language (L2) SRL strategy use and the conditions under which this transfer occurs ...
Barry Bai, Xuan Zang, Gurpinder Lailli
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