Results 51 to 60 of about 13,130,215 (384)

Current Approaches to Monitor Macromolecules Directly from the Cerebral Interstitial Fluid

Pharmaceutics, 2022
Gaining insights into the pharmacokinetic and pharmacodynamic properties of lead compounds is crucial during drug development processes. When it comes to the treatment of brain diseases, collecting information at the site of action is challenging.
Marie-Laure Custers, Liam Nestor, Dimitri De Bundel, Ann Van Eeckhaut, Ilse Smolders   +4 more
doaj   +1 more source

Entropy current and equilibrium partition function in fluid dynamics

, 2014
Existence of an entropy current with non-negative divergence puts a lot of constraints on the transport coefficients of a fluid, so does the existence of equilibrium.
Bhattacharyya, Sayantani
core   +1 more source

Concentration Gradient, Diffusion, and Flow Through Open Porous Medium Near Percolation Threshold via Computer Simulations [PDF]

, 2001
The interacting lattice gas model is used to simulate fluid flow through an open percolating porous medium with the fluid entering at the source-end and leaving from the opposite end.
Barma, Binder (Ed.), Boettger, Bunde, Bunde, Cussler, D. Stauffer, Dhar, Havlin, J.F. Gettrust, Lorenz, Pandey, Pandey, Paul, R.B. Pandey, Rosso, Sahimi, Sahimi, Seifert, Silebi, Stanley, Stauffer, Stauffer, Stauffer   +23 more
core   +4 more sources

Network topology drives population temporal variability in experimental habitat networks

Population Ecology, EarlyView.
Habitat patches connected by dispersal pathways form habitat networks. We explored how network topology affects population outcomes in laboratory experiments using a model species (Daphnia carinata). Central habitat nodes in complex lattice networks exhibited lower temporal variability in population sizes, suggesting they support more stable ...
Yiwen Xu, J. Angus Webb, William D. Bovill, Elise L. King   +3 more
wiley   +1 more source

A review on Deep Reinforcement Learning for Fluid Mechanics [PDF]

Computers & Fluids, 2019
In the past couple of years, the interest of the fluid mechanics community for deep reinforcement learning techniques has increased at fast pace, leading to a growing bibliography on the topic. Due to its ability to solve complex decision-making problems,
Paul Garnier, J. Viquerat, J. Rabault, A. Larcher, A. Kuhnle, E. Hachem   +5 more
semanticscholar   +1 more source

occumb: An R package for site occupancy modeling of eDNA metabarcoding data

Population Ecology, EarlyView.
This study introduces a new R package, occumb, for the convenient application of site occupancy modeling using environmental DNA (eDNA) metabarcoding data. We outline a data analysis workflow, including data setup, model fitting, model assessment, and comparison of potential study settings based on model predictions, all of which can be performed using
Keiichi Fukaya, Yuta Hasebe
wiley   +1 more source

Two interacting current model of holographic Dirac fluid in graphene

, 2018
The electrons in graphene for energies close to the Dirac point have been found to form strongly interacting fluid. Taking this fact into account we have extended previous work on the transport properties of graphene by taking into account possible ...
Rogatko, Marek, Wysokinski, Karol. I.
core   +1 more source

The Imperfect Fluid behind Kinetic Gravity Braiding [PDF]

, 2011
We present a standard hydrodynamical description for non-canonical scalar field theories with kinetic gravity braiding. In particular, this picture applies to the simplest galileons and k-essence.
A Diez-Tejedor, A Felice De, A Felice De, A Felice De, A Felice De, A Felice De, A Naruko, A Nicolis, A Nicolis, A Nicolis, A Padilla, A Padilla, A Padilla, A Vikman, Alexander Vikman, BF Schutz, C Armendariz-Picon, C Armendariz-Picon, C Armendariz-Picon, C Burrage, C Deffayet, C Deffayet, C Deffayet, C Deffayet, C Misner, C Rham de, D Bertacca, D Bertacca, D Fairlie, D Fairlie, D Fairlie, D Giannakis, DF Mota, E Babichev, E Babichev, E Babichev, E Dyer, E Dyer, E Gourgoulhon, EA Lim, F Arroja, FP Silva, G Dvali, G Gabadadze, G Gabadadze, GL Goon, Ignacy Sawicki, J Garriga, J-O Gong, K Acoleyen Van, K Hinterbichler, K Kamada, LD Landau, LD Landau, LD Landau, M Andrews, M Wyman, MA Luty, N Andersson, N Arkani-Hamed, N Bilic, N Chow, O Klein, Oriol Pujolàs, P Creminelli, P Creminelli, P Creminelli, P Creminelli, R Akhoury, R Gannouji, R Kimura, RJ Scherrer, S Capozziello, S Dubovsky, S Endlich, S Mizuno, S Nesseris, S Nojiri, S Nojiri, S Unnikrishnan, SR Groot de, T Furukawa, T Kobayashi, T Kobayashi, T Kobayashi, T Kobayashi, V Moncrief, W Israel   +87 more
core   +2 more sources

Leveraging current insights on IL‐10‐producing dendritic cells for developing effective immunotherapeutic approaches

FEBS Letters, EarlyView.
In vivo IL‐10 produced by tissue‐resident tolDC is involved in maintaining/inducing tolerance. Depending on the agent used for ex vivo tolDC generation, cells acquire common features but prime T cells towards anergy, FOXP3+ Tregs, or Tr1 cells according to the levels of IL‐10 produced. Ex vivo‐induced tolDC were administered to patients to re‐establish/
Konstantina Morali, Gloria Giacomello, Michela Vuono, Silvia Gregori   +3 more
wiley   +1 more source

Current Trends in Fluid Viscous Dampers with Semi-Active and Adaptive Behavior

Applied Sciences, 2023
Fluid viscous dampers (FVDs) have shown their efficiency as energy-dissipating systems, reducing the effects induced on structures by dynamic loading conditions like earthquakes and winds. In this paper, the evolution of this technology is reviewed, with
Luca Zoccolini, Eleonora Bruschi, Sara Cattaneo, Virginio Quaglini   +3 more
doaj   +1 more source