Results 161 to 170 of about 42,201,288 (339)
Microbiome‐blood–brain barrier interactions in aging — mechanisms and therapeutic potential
FEBS Letters, EarlyView.Aging reshapes the gut microbiome (↓SCFA‐producing commensals; ↑pro‐inflammatory outputs), shifting circulating metabolites (↓SCFAs; ↑LPS, ↑TMAO, ↑PAA) that act at the BBB to increase nonspecific transcytosis, alter transport, and promote astrocyte reactivity, heightening brain vulnerability.
Daniel Cuervo‐Zanatta +3 more
wiley +1 more source
A fit model for model fitting : an a-didactical situation for model building
, 2019 Mathematical modelling in school mathematics encompasses a wide range of questions such as curricular aspects, mathematical concepts involved, orchestrating lesson activities, and many more. When building models, one approach is to use epistemological arguments and another approach is to base the model on empirical data.
openaire +1 more source
Designer Spotlight: Martin Margiela
The Museum at FIT presents its Designer Spotlight series where MFIT curators explore objects from our permanent collection that highlight a specific designer's work and their contributions to fashion.
core
Structure‐forward targeting of claudins with synthetic binders
FEBS Letters, EarlyView.Claudins form the paracellular barriers between epithelial and endothelial tissues at tight junctions and are targets for molecular binders with the goal of modulating barrier permeability. Claudin‐binding molecules are relevant in drug delivery or in altering claudin interactions with disease‐causing proteins.
Alex J. Vecchio
wiley +1 more source
Modelling and understanding regulatory fit
Energy SystemsAbstract Understanding how regulatory interventions shape electricity markets is essential. We posit that regulation is a behavioural adaptive process, influenced by internal and external forces. We develop a system dynamics model to explore the interdependencies between regulators' reactivity, their willingness to initiate major regulatory ...
Ann van Ackere, Erik R. Larsen
openaire +2 more sources
Comment on "How Good is Your Model Fit? Weighted Goodness-of-Fit Metrics for Irregular Time Series". [PDF]
Ground Water, 2022 Zaadnoordijk WJ.
europepmc +1 more source
Sensitivity analysis of model fit full model.
, 2016 Sensitivity analysis of model fit full model.
Dave D. Chadee (366326) +4 more
core +1 more source
FEBS Letters, EarlyView.Animals must match their growth rate to available nutrients. We show that in Drosophila larvae, the nutrient‐sensing TOR kinase controls growth by regulating levels of TFAM, a key regulator of mitochondrial function, in the adipose tissue. When nutrients are abundant, high TOR activity suppresses TFAM, lowering mitochondrial bioenergetic activity and ...
Shrivani Sriskanthadevan‐Pirahas +4 more
wiley +1 more source
Reply to Comment on "How Good is Your Model Fit? Weighted Goodness-of-Fit Metrics for Irregular Time Series". [PDF]
Ground Water, 2022 Collenteur RA.
europepmc +1 more source