Results 81 to 90 of about 57,483 (180)
Compliance in Regulatory Gray Areas: The Case of the Organic Seed Standard
ABSTRACT Adaptive regulations, designed to balance flexibility with accountability, can embed provisions that unintentionally leave room for firms to shirk on their responsibilities by exploiting flexibility. We call these provisions “regulatory gray areas,” and ask: how should we understand (non‐)compliance in adaptive regulatory settings?
Liza Wood +3 more
wiley +1 more source
Analysis of Differentially Expressed Proteins in Self-Paired Sera of Advanced Non-small Cell Lung Cancer Patients Responsive to Gefin [PDF]
Background and objective All the advanced NSCLC patients that received EGFR-TKI therapy will eventually relapse after a period of efficacy. The aim of this study is to investigate the serum biomarkers as potential predictive factors for the efficacy of ...
Ailin GUO +10 more
core
ABCA12 Frameshift Deletion in Domestic Cats With Ichthyosis Fetalis
ABSTRACT Background Ichthyosis fetalis (IF), also known as harlequin ichthyosis, is a rare and often fatal autosomal recessive congenital skin disorder. It is characterized by thickened, hard skin plaques and deep skin fissures that limit mobility and cause malformations of the eyes, lips and ears.
Jeanna M. Blake +2 more
wiley +1 more source
合成试验是检验大容量断路器短路开断能力的重要试验方法,文中针对合成试验中短路电流预测精度的要求,首先分析了威尔合成回路同步控制的原理,将过零点预测问题等效为时间序列预测问题,据此提出建立CNN-LSTM预测模型拟合短路电流序列,预测过零点。其次,通过某次试验中的短路电流情况建立预测模型,并比较了CNN-LSTM混合网络与单一LSTM网络的预测效果,在此基础之上,将该CNN-LSTM预测模型应用到不同短路电流下T100s及T100a试验中,实验结果显示该模型对于过零时刻的预测误差均≤4 μs ...
王智 +4 more
doaj
Spatially Downscaling of Future Food Demand for Policy Planning
ABSTRACT Understanding the subnational dynamics of food demand, while accounting for the evolution of the agrifood system at the global level, remains a challenge for designing food policy to ensure food security. To link global agrifood systems with subnational food policy planning, we downscale per capita food demand for 62 food commodities at the ...
Chun Song +3 more
wiley +1 more source
在对碳交易价格进行预测时,如何考虑在保证预测精度的同时提高预测效率是目前亟需解决的问题。针对该问题,文中考虑到现有预测方法中的碳价序列存在模态混叠问题和预测模型求解复杂的情况。从而提出一种基于VMD-LSSVM(variational mode decomposition-least squares support vector machine)的碳交易价格预测方法。首先,利用VMD算法将历史碳价样本序列分解为频率不同的碳价分量;其次,建立LSSVM模型并对分解后的各个碳价分量进行预测;最后 ...
母欢欢 +5 more
doaj
针对目前大部分PM2.5 预测模型预测效果不稳定、泛化能力不强的现状,以记忆能力较强的循环神经网络(RNN) 和特征表达能力较强的卷积神经网络(CNN) 为基础,采取Stacking 集成策略对两者进行融合,提出了RNN-CNN 集成深度学习预测模型。该模型不仅充分利用时间轴上的前后关联信息去预测未来的浓度,而且在不同层次上将自动提取的高维时序数据通用特征用于预测,以保证预测结果的稳定性。最后,对集成之前的 RNN、CNN 和集成之后的RNN-CNN 模型,以2016 年中国大陆地区1 466 ...
HUANGJie(黄婕) +4 more
doaj +1 more source
Genomic responses to increased temperature and pollinator selection in Brassica rapa L.
Summary Rapid environmental change reshapes both abiotic stress and biotic interactions, yet it remains unclear how these combined forces structure plants' genomic adaptation. In particular, the joint influence of temperature and pollinator identity, two ecological axes undergoing simultaneous global shifts, has rarely been quantified at genomic ...
Yanqian Ding, Florian P. Schiestl
wiley +1 more source
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
Extended Dynamic Nelson-Siegel Model with Human Factor and Its Application in Predicting Exchange Rate [PDF]
随着越来越多的发达国家步入人口老龄化社会,学者们愈发关注人口结构与资产价格的关系(如利率和人口结构之间的关系)。依据人口结构变化能够显著影响利率的理论基础,本文从统计模型的角度提出了基于人口因子的动态Nelson-Siegel扩展模型,并对美国、加拿大等几个国家的国债收益率曲线进行建模,比较两模型的样本内拟合的RMSE和MAE及模型在递归预测和滚动预测下的样本外预测能力。与原始动态Nelson-Siegel模型比较,该模型在样本内拟合效果和样本外预测效果均占优于原始模型,且基于人口因子的动态Nelson-
郑桂凤
core

