Evaluation of Non-linear Models to Predict Potential Milk Yield of Beef Cows According to Parity Order Under Grazing. [PDF]
Ferreira MFL +7 more
europepmc +1 more source
Non-linear strategies in a linear quadratic differential game [PDF]
We study non-linear Markov perfect equilibria in a two agent linear quadratic differential game. In contrast to the literature owing to Tsutsui and Mino (1990), we do not associate endogenous subsets of the state space with candidate solutions.
Colin Rowat
core
Plasma membranes contain dynamic nanoscale domains that organize lipids and receptors. Because viruses operate at similar scales, this architecture shapes early infection steps, including attachment, receptor engagement, and entry. Using influenza A virus and HIV‐1 as examples, we highlight how receptor nanoclusters, multivalent glycan interactions ...
Jan Schlegel, Christian Sieben
wiley +1 more source
Forecasting industrial production with linear, nonlinear, and structural change models
We compare the forecasting performance of linear autoregressive models, autoregressive models with structural breaks, self-exciting threshold autoregressive models, and Markov switching autoregressive models in terms of point, interval, and density ...
Dijk, D.J.C. van, Siliverstovs, B.
core
Non-linear predictability in stock and bond returns: when and where is it exploitable? [PDF]
We systematically examine the comparative predictive performance of a number of alternative linear and non-linear models for stock and bond returns in the G7 countries.
Stuart Hyde +3 more
core
Embryo‐like structures (stembryos) are an innovative tool, but they are hindered by experimental variability and limited developmental potential. DNA methylation is crucial for mammalian development, but its status in stembryo models is poorly characterized.
Sara Canil +4 more
wiley +1 more source
A comparison of linear and non linear models to forecast the tourism demand in the North of Portugal
In order to contribute for enriching studies in the tourism field, it was intended with this research paper performing the comparison between the model based on linear regression and the model based on artificial neural networks and analyses of the ...
Natália Dos-Santos +2 more
doaj
Control of non-linear time-varying systems using fuzzy relational models
The majority of chemical processes are non-linear in nature. Increasingly, non-linear models are being used as key parts of chemical plant control schemes.
Postlethwaite, Bruce, Edgar, Craig
core
pH‐mediated activation of the lysosomal arginine sensor SLC38A9
Cells monitor nutrient levels via the lysosomal transporter SLC38A9 to activate the mechanistic target of rapamycin complex 1 (mTORC1). This study reveals that SLC38A9 function is regulated by pH. We identified histidine 544 as a critical pH sensor that undergoes conformational changes to control amino acid efflux from lysosomes; therefore, it ...
Xuelang Mu, Ampon Sae Her, Tamir Gonen
wiley +1 more source
Using Distributed Lag Non-Linear Models to Estimate Exposure Lag-Response Associations between Long-Term Air Pollution Exposure and Incidence of Cardiovascular Disease. [PDF]
Kriit HK +19 more
europepmc +1 more source

