Results 71 to 80 of about 3,221 (174)

A benchmarking of genomic selection models for predicting grain‐yield related traits using haplotype‐based and genome‐wide association study‐based markers in rice

The Plant Genome, Volume 19, Issue 2, June 2026.
Abstract Rice (Oryza sativa) is an important staple food, feeding more than half of the global population. A feasible improvement of rice yield is necessary to meet the ever–growing food demands. Genomic selection (GS), as an advanced breeding technique, enables the prediction of phenotypes solely based on genotypic data using a constructed genomic ...
Xiankang Hu, Liu Xian, Guangping Cao, Shuoran Liu, Di Wang, Yanru Che, Weichao Huang, Yanhui Lin, Liqiang He   +8 more
wiley   +1 more source

A Deep Learning‐Enhanced Ensemble Smoother for Non‐Gaussian Hydrological Data Assimilation Without Relying on Innovation Vectors

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Data assimilation (DA) plays a critical role in reducing simulation uncertainty in hydrological systems by leveraging available observations to estimate model states and/or parameters. Among DA methods, the ensemble smoother (ES) has emerged as an attractive option for parameter estimation due to its computational efficiency and ...
Jiangjiang Zhang, Junliang Jin, Lei Yao, Kun Zhou, Jianyun Zhang   +4 more
wiley   +1 more source

Determination and human health risk assessment of TFWT, OBT and carbon-14 in seafood around Qinshan Nuclear Power Plant

Food Chemistry: X
This work aims to evaluate the effects of the operation of Qinshan nuclear Power Plant (QNPP) on tritium (3H) and carbon-14 (14C) levels in seafood and assess the health risks caused by seafood consumption.
Xiaoxiang Ma, Yiyao Cao, Taotao Zheng, Shunfei Yu, Hua Zou, Xinyu Gong, Yi Cao, Hong Ren   +7 more
doaj   +1 more source

Bridge Scour Identification and Field Application Based on Ambient Vibration Measurements of Superstructures

Journal of Marine Science and Engineering, 2019
A scour identification method was developed based on the ambient vibration measurements of superstructures. The Hangzhou Bay Bridge, a cable-stayed bridge with high scour potential, was selected to illustrate the application of this method.
Wen Xiong, C.S. Cai, Bo Kong, Xuefeng Zhang, Pingbo Tang   +4 more
doaj   +1 more source

Changes of Neolithic subsistence in south Hangzhou Bay coast, eastern China: An adaptive strategy to landscape processes. [PDF]

Front Plant Sci, 2022
Dai J, Deng L, Feng D, Zhao X, Wang H, Li X, Xiao L, Zhang X, Chen J, Li M, Chen Z, Liu Y, Sun Q.   +12 more
europepmc   +1 more source

Spatiotemporal Pattern of Urban-Rural Integration Development and Its Driving Mechanism Analysis in Hangzhou Bay Urban Agglomeration. [PDF]

Int J Environ Res Public Health, 2022
Xu C, Qian C, Yang W, Li B, Kong L, Kong F.   +5 more
europepmc   +1 more source

The association between systemic inflammation markers and paroxysmal atrial fibrillation

BMC Cardiovascular Disorders
Background Systemic inflammation markers have recently been identified as being associated with cardiac disorders. However, limited research has been conducted to estimate the pre-diagnostic associations between these markers and paroxysmal atrial ...
Xuechen Zhao, Lei Huang, Jianan Hu, Nake Jin, Jun Hong, Xudong Chen   +5 more
doaj   +1 more source

Fine-Scale Monitoring of Industrial Land and Its Intra-Structure Using Remote Sensing Images and POIs in the Hangzhou Bay Urban Agglomeration, China. [PDF]

Int J Environ Res Public Health, 2022
Huang L, Xiang S, Zheng J.
europepmc   +1 more source

Combining the multivariate statistics and dual stable isotopes methods for nitrogen source identification in coastal rivers of Hangzhou Bay, China. [PDF]

Environ Sci Pollut Res Int, 2022
Zhou J, Hu M, Liu M, Yuan J, Ni M, Zhou Z, Chen D.   +6 more
europepmc   +1 more source

Carbon, Nitrogen, and Phosphorus Stoichiometry and Plant Growth Strategy as Related to Land-Use in Hangzhou Bay Coastal Wetland, China. [PDF]

Front Plant Sci, 2022
Xiong J, Shao X, Yuan H, Liu E, Wu M.
europepmc   +1 more source