Results 211 to 220 of about 2,659,274 (336)

Seasonal variability of nitrate concentrations below the root zone: A monthly predictive modeling approach

Journal of Environmental Quality, EarlyView.
Abstract Nitrogen Leaching Estimation System version 5 (NLES5) is an empirical model extensively used for estimating annual nitrate leaching from the root zone. The model is based on leaching data obtained by multiplying the measured nitrate concentration below the root zone depth by the percolation calculated using a hydrological model, which together
Franca Giannini‐Kurina, Raphael J. M. Schneider, Anker Lajer Højberg, Christen Duus Børgesen   +3 more
wiley   +1 more source

Mutual information maximizing quantum generative adversarial networks. [PDF]

Sci Rep
Lee M, Shin M, Lee J, Jeong K.
europepmc   +1 more source

Association between high serum ferritin and periodontitis: A population‐based cross‐sectional preliminary study

Journal of Periodontology, EarlyView.
Abstract Background The aim of this study was to investigate the association between high serum ferritin levels and periodontitis considering pathways induced by sociodemographic and behavioral factors, serum inflammation, and metabolic risk. Methods Data from 7283 individuals who participated in the Third National Health and Nutrition Examination ...
Susilena Arouche Costa, Cecilia Cláudia Costa Ribeiro, Ana Regina Oliveira Moreira, Gustavo G. Nascimento, Soraia de Fátima Carvalho Souza   +4 more
wiley   +1 more source

On the vanishing ideal of an algebraic toric set and its parameterized linear codes

, 2011
Eliseo Sarmiento, Maria Vaz Pinto, Rafael H. Villarreal   +2 more
openalex   +2 more sources

Varying vulnerabilities: Seagrass species under threat from prolonged ocean warming

Limnology and Oceanography, EarlyView.
Abstract Understanding the response of various seagrass species to prolonged elevated water temperatures is crucial for effective management and seagrass species restoration amid increasing climate change‐induced ocean warming and marine heat waves. This is especially important in intertidal seagrass meadows, where heat can penetrate substrate depths ...
Marnie L. Campbell, Chi T. U. Le
wiley   +1 more source

Data and code for training neural network parameterizations from an near-global aqua-planet simulation

, 2019
Noah Brenowitz
openalex   +2 more sources

Model code and data for "Mitigation of the double ITCZ syndrome in BCC-CSM2-MR through improving parameterizations of boundary-layer turbulence and shallow convection" by Lu et al., submitted to Geoscientific Model Development, https://doi.org/10.5194/gmd-2020-40, in review, 2020.

, 2020
Yixiong Lu
openalex   +2 more sources

Trainable embedding quantum physics informed neural networks for solving nonlinear PDEs. [PDF]

Sci Rep
Berger S, Hosters N, Möller M.
europepmc   +1 more source

Predicting photosynthesis–irradiance relationships from satellite remote‐sensing observations

Limnology and Oceanography Letters, EarlyView.
Abstract Photosynthesis–irradiance (PI) relationships are important for phytoplankton ecology and quantifying carbon fixation rates in the environment. However, the parameters of PI relationships are typically unknown across space and time. Here we use machine learning, satellite remote‐sensing, and a database of in situ PI relationships to build ...
Gregory L. Britten, Bror Jönsson, Gemma Kulk, Heather A. Bouman, Michael J. Follows, Shubha Sathyendranath   +5 more
wiley   +1 more source

Benchmarking the operation of quantum heuristics and Ising machines: scoring parameter setting strategies on optimization applications. [PDF]

Quantum Mach Intell
Bernal Neira DE, Brown R, Sathe P, Wudarski F, Pavone M, Rieffel E, Venturelli D.   +6 more
europepmc   +1 more source