Results 11 to 20 of about 11,487 (162)
SARS‐CoV‐2 infection as cause of in‐utero fetal death: regional multicenter cohort study
Ultrasound in Obstetrics &Gynecology, Volume 62, Issue 6, Page 867-874, December 2023., 2023 ABSTRACT Objective Placental infection with severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) can lead to placental insufficiency and in‐utero fetal death (IUFD). The objective of this study was to confirm and quantify the extent to which fetoplacental infection with SARS‐CoV‐2 is a cause of fetal death.
M. Nkobetchou +9 more
wiley +1 more source
How street‐level dilemmas and politics shape divergence: The accountability regimes framework
Policy Studies Journal, Volume 51, Issue 4, Page 793-816, November 2023., 2023 Abstract Hierarchical accountability often proves insufficient to control street‐level implementation, where complex, informal accountability relations prevail and tasks must be prioritized. However, scholars lack a theoretical model of how accountability relations affect implementation behaviors that are inconsistent with policy.
Eva Thomann, James Maxia, Jörn Ege
wiley +1 more source
Conservation Biology, Volume 37, Issue 5, October 2023., 2023 Abstract Fisheries bycatch is a critical threat to sea turtle populations worldwide, particularly because turtles are vulnerable to multiple gear types. The Canary Current is an intensely fished region, yet there has been no demographic assessment integrating bycatch and population management information of the globally significant Cabo Verde ...
Michael J. Roast +9 more
wiley +1 more source
Ultrasound in Obstetrics &Gynecology, Volume 62, Issue 1, Page 14-22, July 2023., 2023 ABSTRACT Objective A favorable postnatal prognosis in cases of pulmonary atresia/critical stenosis with intact ventricular septum (PA/CS‐IVS) is generally equated with the possibility of achieving biventricular (BV) repair. Identification of fetuses that will have postnatal univentricular (UV) circulation is key for prenatal counseling, optimization of
C. Villalaín +9 more
wiley +1 more source
Conservation Biology, Volume 37, Issue 3, June 2023., 2023 Abstract Conservation decisions are invariably made with incomplete data on species’ distributions, habitats, and threats, but frameworks for allocating conservation investments rarely account for missing data. We examined how explicit consideration of missing data can boost return on investment in ecosystem restoration, focusing on the challenge of ...
Christina T. Ioannidou +2 more
wiley +1 more source
Major Achievements and Future Key Fields of Soil Erosion Research in China [PDF]
, 2022 [Objective] The developing history of soil erosion research in China was reviewed, the major research achievements were summarized, and the current problems and key research fields in the future were analyzed to provide a reference for China's soil and ...
Cai Qiangguo, Ke Qihua, Zhang Keli
core +1 more source
Kongjian kexue xuebao不同等级耀斑发生的频次存在数量级上的差别, 使基于常规卷积神经网络的耀斑预报模型通常难以捕捉M和X类耀斑先兆特征, 导致高等级耀斑预报精度低的问题. 本文对于这种耀斑预报中的长尾分布问题, 通过控制变量法讨论不同深度长尾学习方法对于耀斑预报精度提升. 尝试从训练集优化、损失函数优化、网络权重优化等角度改进模型对于M和X类耀斑的预报性能.
周 俊 +3 more
doaj +1 more source
Contrast experiments of two SVM identification methods of haze(2个SVM霾识别预报模型的对比试验)
Zhejiang Daxue xuebao. Lixue ban, 2015 支持向量机方法(SVM)是基于统计学理论的一种较为新颖的学习方法，应用该方法解决小样本条件下的非线性问题既有坚实的理论基础，也十分有效.基于2013~2014年金华站的地面自动站资料、探空气象资料以及大气污染物浓度数据，采用SVM分类方法建立2个金华SVM霾识别预报模型，即初始模型和订正模型，并对其8种核函数最优模型进行对比试验.结果表明：（1）初始模型的正样本分类Ts评分在0.45以上，均高于订正模型，故初始模型分类结果较为理想，可以给实际霾日识别预报提供参考；(2)初始模型的分类结果优于订正模型 ...
ZHENGZhaoxia(郑朝霞) +5 more
doaj +1 more source
Haiyang yu huzhao海表面温度(sea surface temperature, SST)受到海洋大气相互作用过程的显著影响，与全球气候、海洋环流以及海洋生态环境有着密切联系。利用卫星遥感SST融合数据以及大气再分析数据，基于卷积长短期记忆神经网络(convolutional long-short term memory, ConvLSTM)对南海北部未来7 d SST预报开展研究。通过多组敏感性试验，从模型参数、气象要素以及预报策略三方面探讨影响SST预报效果的关键因素并获取最优模型配置。输入历史14 d ...
李 建东 +5 more
doaj +1 more source
A forecast model for gale along the coast of Qingdao corresponding to the ECMWF missing-forecast and its operational application [PDF]
Establishing the corresponding forecasting models based on numerical model that fails to capture gale events is helpful to improve the ability to forecast gales in coastal areas of China.
Guoqiang ZHONG +4 more
core +1 more source