Results 21 to 30 of about 731,336 (171)
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
, 2011 作者提出的数值摄动算法(NPA)在数学上是用离散方程中的步长(小参数)把数值通量或单过程离散格式(如对流格式)进行级数展开，在维持离散方程结构和网格点不动的条件下，通过数学运算求出级数的系数，获得精度更高更稳健的离散方程；在物理上，NPA 是把离散方程中的数值通量或单过程离散格式摄动展开成步长的幂级数、通过数学运算把所有的单过程离散格式关联在一起，同时把波动规律、对流运动规律(下游不影响上游)、扩散运动规律(物理粘性使扩散量空间分布均匀化)、诸物理过程之间的高阶线性关联引入离散方程 ...
高智
core
Slave-wheel device capable of automatically adjusting in pace with unevenness of ground surface
, 1998 本设计属于一种自动导航车车轮随动装置。其结构是上面为连接法兰,下面装有支架,支架一侧装有弹簧盒,盒内装有缓冲弹簧,中间为拉杆,一端连接摆动臂,中间通过固定轴,摆动臂端头安装随动轮,随动轮在不平地面上走动,利用弹簧压缩的功能实现自动调节作用。优点:结构简单,利用缓冲弹簧压缩调整随动轮高低,可在不平地面上走动 ...
李凤君
core +1 more source
Assessing differences among elasmobranch nurseries to aid conservation based on a genomics framework
Conservation Biology, EarlyView.Abstract Elasmobranch nurseries often differ in environmental conditions, demographics, and use patterns. These differences affect the distribution of genetic variation among nurseries. However, conservation and management strategies often fail to account for such differences because they are difficult to characterize.
Dominic G. Swift +8 more
wiley +1 more source
Gaoya dianqi, 2021 主动干预式消弧装置具有很强的消弧能力,是一种有效的消弧手段;中性点不接地系统运行稳定性好,但是主动干预式消弧装置在中性点不接地系统中的故障选线准确率还有待提升。针对主动干预式消弧装置在中性点不接地系统中的选线难题,分析主动干预式消弧技术原理,考虑零序电流幅值、相位特性,提出了基于零序电流矢量差的故障选线方法。在PSCAD/EMTDC平台上进行故障仿真分析,结果证明了所提出选线方法的准确性。
郝越峰
doaj
四川大学学报. 自然科学版, 1998 广义模糊度量空间中映象的不动点定理陈琼（数学系）引入一类广义ｆｕｚｙ度量空间，其ｆｕｚｚｙ度量是一个满足一定条件的模糊数，刻画的是两个模糊点之间的距离．还研究了广义ｆｕｚｚｙ度量空间中映象不动点的存在性，得到了一些不动模糊点定理．１基本概念和引理称映...
陈琼
doaj
Emerging applications of large language models in ecology and conservation science
Conservation Biology, EarlyView.Abstract Large language models (LLMs) mark a major development in artificial intelligence, with potentially transformative implications for ecology and conservation science. Built on advanced deep‐learning architectures, these models can support a wide range of tasks. We reviewed emerging applications of LLMs, drawing on the wider scientific literature
Christos Mammides +5 more
wiley +1 more source
含智慧社区能量枢纽配电网三相不平衡动态潮流模型预测控制方法 [PDF]
全球能源互联网, 2019 分布式能源具有分散性及不确定性，直接接入配电网将对潮流产生较大影响，增加配电网的调控难度。如何在兼顾系统经济、环保、安全运行的前提下，提高配电网对分布式能源的消纳和主动管理控制水平成为研究的重点。针对多能源接入配电网对配电网潮流及优化控制问题，提出一种含智慧社区多能枢纽的三相不平衡配电网动态潮流分析方法。根据智慧社区分布式风电、光伏出力及负荷的波动，考虑社区冷热电联供、电动汽车、储能设备等的技术经济特性，通过能源集线器实现社区与配电网的能量交互，并利用模型预测控制方法对配电网进行在线滚动潮流计算 ...
马瑞 +5 more
doaj +1 more source
Evaluating the use of taxonomy in the IUCN Red List
Conservation Biology, EarlyView.Abstract Taxonomy defines the units that conservationists strive to preserve for future generations. However, the discovery of new species and the taxonomic revision of existing species affect conservation efforts. Despite the importance of taxonomy for a species’ conservation, there is currently no overview of how those leading species extinction risk
Stephen T. Garnett +8 more
wiley +1 more source