Zobrazeno 1 - 10
of 16 501
pro vyhledávání: '"D Feng"'
Publikováno v:
Brazilian Journal of Poultry Science, Vol 17, Iss 3, Pp 371-380 (2015)
ABSTRACTThis experiment was conducted to evaluate the combination effect of low dietary non-phytate phosphorus (NPP) concentrations, phytase (PHY) levels, and 25-hydroxycholecalciferol (25-OH-D3) levels on the growth performance and meat quality of b
Externí odkaz:
https://doaj.org/article/97cd7f44c433452b9288d3c171e21f28
Autor:
D. Feng, H. Beck, J. de Bruijn, R. K. Sahu, Y. Satoh, Y. Wada, J. Liu, M. Pan, K. Lawson, C. Shen
Publikováno v:
Geoscientific Model Development, Vol 17, Pp 7181-7198 (2024)
Accurate hydrologic modeling is vital to characterizing how the terrestrial water cycle responds to climate change. Pure deep learning (DL) models have been shown to outperform process-based ones while remaining difficult to interpret. More recently,
Externí odkaz:
https://doaj.org/article/6f4c907569364399b4a8a656d9a9998e
Publikováno v:
Hydrology and Earth System Sciences, Vol 28, Pp 3051-3077 (2024)
Recent advances in differentiable modeling, a genre of physics-informed machine learning that trains neural networks (NNs) together with process-based equations, have shown promise in enhancing hydrological models' accuracy, interpretability, and kno
Externí odkaz:
https://doaj.org/article/5812cf558c4043da833db6474228e2d7
Publikováno v:
Hydrology and Earth System Sciences, Vol 28, Pp 2505-2529 (2024)
Predicting the response of hydrologic systems to modified driving forces beyond patterns that have occurred in the past is of high importance for estimating climate change impacts or the effect of management measures. This kind of prediction requires
Externí odkaz:
https://doaj.org/article/d4bff8153dcc4319a32196034fdc25b1
Publikováno v:
Annals of Clinical Microbiology and Antimicrobials, Vol 22, Iss 1, Pp 1-12 (2023)
Abstract Background To study the efficacy and nephrotoxicity of polymyxin B in the treatment of elderly patients with carbapenem-resistant organism (CRO) infection. Methods The clinical and microbiological data of patients with CRO-infected sepsis tr
Externí odkaz:
https://doaj.org/article/15d5a0e5af5441b99380d4e3dada0111
Publikováno v:
Hydrology and Earth System Sciences, Vol 27, Pp 3911-3934 (2023)
Compound flooding is a type of flood event caused by multiple flood drivers. The associated risk has usually been assessed using statistics-based analyses or hydrodynamics-based numerical models. This study proposes a compound flood (CF) risk assessm
Externí odkaz:
https://doaj.org/article/5e68aaf5bba741efbb83c87dfa9dbdc8
Publikováno v:
Hydrology and Earth System Sciences, Vol 27, Pp 2357-2373 (2023)
As a genre of physics-informed machine learning, differentiable process-based hydrologic models (abbreviated as δ or delta models) with regionalized deep-network-based parameterization pipelines were recently shown to provide daily streamflow predic
Externí odkaz:
https://doaj.org/article/58ecf3c815f64278bc5ded9e63225d5c
Publikováno v:
Hydrology and Earth System Sciences, Vol 26, Pp 5473-5491 (2022)
Coastal backwater effects are caused by the downstream water level increase as a result of elevated sea level, high river discharge and their compounding influence. Such effects have crucial impacts on floods in densely populated regions but have not
Externí odkaz:
https://doaj.org/article/6c48313c5a384155a7c4d78cec914675
Publikováno v:
Mechanical Sciences, Vol 12, Pp 715-723 (2021)
In order to improve the efficiency of identifying parameters using the maximum likelihood method and to avoid the sensitivity of initial values, a proposed method that combines the micro-genetic algorithm with the advance and retreat method is presen
Externí odkaz:
https://doaj.org/article/ebdda63faab94642827dfbde5a61d9dd
Autor:
C. J. Gleason, K. Yang, D. Feng, L. C. Smith, K. Liu, L. H. Pitcher, V. W. Chu, M. G. Cooper, B. T. Overstreet, A. K. Rennermalm, J. C. Ryan
Publikováno v:
The Cryosphere, Vol 15, Pp 2315-2331 (2021)
Recent work has identified complex perennial supraglacial stream and river networks in areas of the Greenland Ice Sheet (GrIS) ablation zone. Current surface mass balance (SMB) models appear to overestimate meltwater runoff in these networks compared
Externí odkaz:
https://doaj.org/article/d3cb367e6ef646bead8e08b72d564dae