Results 71 to 80 of about 19,731,055 (110)

Enhancing subsurface multiphase flow simulation with Fourier neural operator

Heliyon
Accurate numerical modeling of multiphase flow in subsurface oil and gas reservoirs is critical for optimizing hydrocarbon recovery. However, traditional physics-based algorithms face substantial computational hurdles due to the need for fine grid ...
Xianlin Ma, Rong Zhong, Jie Zhan, Desheng Zhou   +3 more
doaj   +1 more source

Cost Breakeven Point of Offshore Wind Energy in Brazil

Energies
Brazil has abundant natural resources and a largely renewable electricity matrix, with about 90% of its capacity from clean sources. Despite strong offshore wind potential, its economic viability remains uncertain due to the lack of a domestic supply ...
Rodrigo Vellardo Guimarães, Milad Shadman, Saulo Ribeiro Silva, Segen F. Estefen, Maurício Tiomno Tolmasquim, Amaro Olimpio Pereira   +5 more
doaj   +1 more source

Digital twin framework for precision downy mildew intervention in greenhouses using intelligent air quality sensing

Cogent Food & Agriculture
Greenhouse cucumber production in the Shanxi region is persistently threatened by downy mildew (Pseudoperonospora cubensis), a fungal pathogen promoted by complex environmental factors including adverse AQI values, high humidity, and pronounced ...
Shikang Wu
doaj   +1 more source

Differential expression and function of PDE8 and PDE4 in effector T cells: Implications for PDE8 as a drug target in inflammation.

Frontiers in Pharmacology, 2016
Abolishing the inhibitory signal of intracellular cAMP is a prerequisite for effector T (Teff) cell function. The regulation of cAMP within leukocytes critically depends on its degradation by cyclic nucleotide phosphodiesterases (PDEs).
Amanda G. Vang, Amanda G. Vang, Hongli Dong, Rebecca K. Nguyen, Chaitali Basole, William Housley, William Housley, Linda Guernsey, Alexander J Adami, Roger Thrall, Robert Bennett Clark, Paul Mark Epstein, Stefan Brocke   +12 more
doaj   +1 more source

The phosphodiesterase 10 inhibitor papaverine exerts anti-inflammatory and neuroprotective effects via the PKA signaling pathway in neuroinflammation and Parkinson’s disease mouse models

Journal of Neuroinflammation, 2019
Background Neuroinflammation plays a pivotal role in the pathogenesis of Parkinson’s disease (PD). Thus, the development of agents that can control neuroinflammation has been suggested as a promising therapeutic strategy for PD.
Yu-Young Lee, Jin-Sun Park, Yea-Hyun Leem, Jung-Eun Park, Do-Yeon Kim, Youn-Hee Choi, Eun-Mi Park, Jihee Lee Kang, Hee-Sun Kim   +8 more
doaj   +1 more source

Functional analysis of cyclic diguanylate-modulating proteins in Vibrio fischeri

mSystems
As bacterial symbionts transition from a motile free-living state to a sessile biofilm state, they must coordinate behavior changes suitable to each lifestyle.
Ruth Y. Isenberg, Chandler S. Holschbach, Jing Gao, Mark J. Mandel   +3 more
doaj   +1 more source

A Double Age-Structured Model for Within-Host Malaria Dynamics: Coupling RBC Lifespan and Infection Age

International Journal of Differential Equations
Malaria is one of the most prevalent diseases spread by mosquitoes in tropical and subtropical areas. In this study, we present an age-structured mathematical model for the within-host dynamics of Plasmodium falciparum malaria, employing a dual age ...
Adugna Gadisa Geleta, Temesgen Duressa Keno, Chernet Tuge Deressa   +2 more
doaj   +1 more source

Wind-Radiation Data-Driven Modelling Using Derivative Transform, Deep-LSTM, and Stochastic Tree AI Learning in 2-Layer Meteo-Patterns

Modelling
Self-contained local forecasting of wind and solar series can improve operational planning of wind farms and photovoltaic (PV) plant day-cycles in addition to numerical models, which are mostly behind time due to high simulation costs.
Ladislav Zjavka
doaj   +1 more source

zwicker-group/py-pde: 0.39.0

<p>This release collects minor adjustments, but there is also one which makes <code>py-pde</code> compatible with newer versions of matplotlib.</p> <h2>What's Changed</h2> <ul> <li>First variant of a < ...
JKrausser, noah-ziethen, Juanjo Bazán, David Zwicker, Daniel S. Katz, lmenou, Estefania Vidal   +6 more
core   +1 more source

Physics-informed neural network for modeling coupled fluid flow and heat transport in a geothermal doublet system

Case Studies in Thermal Engineering
Geothermal energy is an important renewable energy resource, and geothermal doublet systems are widely used for its sustainable exploitation. Accurate simulation of coupled fluid-flow and heat-transfer processes in geothermal doublet systems provides an ...
Cuiting Qi, Yanguang Liu, Yonghong Hao, Hongbin Zhan, Shengquan Zeng, Jianli Liu, Jiabao Zhang, Xiaopeng Li   +7 more
doaj   +1 more source