Results 101 to 110 of about 2,383,589 (344)
We used five nonlinear models to calculate the weight gain of rainbow trout (122.11±15.6 g) during the final grow-out phase of 98 days under three different feed types (two commercials diets, A and B, and one experimental diet, C) in triplicate groups ...
Peter Charrie Janampa-Sarmiento+7 more
doaj +1 more source
The Ramsey model with logistic population growth [PDF]
In standard economic growth theory it is assumed that labor force follows exponential growth, a not realistic assumption. As described in Maynard Smith (1974), the growth of natural populations is more accurately depicted by a logistic growth law.
Elvio Accinelli, Juan Gabriel Brida
core
Optimal designs for asymmetric sigmoidal response curves in bioassays and immunoassays [PDF]
Recent studies show that asymmetric sigmoidal response curves are not uncommonin biomedical studies. For example, the 5-parameter logistic (5PL) model isfrequently used to model and analyze responses from bioassays and immunoassayswhich can be skewed ...
Hyun, Seung Won+2 more
core
ABSTRACTCavin‐4 was identified as a potential autoantigen for immune‐mediated rippling muscle disease (iRMD). To validate this, we developed and tested various immunoassays, including a cell‐based assay (CBA), cavin‐4 recombinant protein ELISA, and multi‐peptide ELISA. Among 19 iRMD patients, all exhibited muscle rippling, and 13 had percussion‐induced
Reghann G. LaFrance‐Corey+13 more
wiley +1 more source
Optimization Models in Logistics
In this thesis, we study three problems in logistics: Single Link Shipping, Vendor-Managed Inventory (VMI) and Scheduling. Firstly, we review the single link shipping problem in the case of multi-product and multi-modal shipping with given sets of frequencies and lead times.
openaire +2 more sources
Gaussian Mixture Regression model with logistic weights, a penalized maximum likelihood approach [PDF]
We wish to estimate conditional density using Gaussian Mixture Regression model with logistic weights and means depending on the covariate. We aim at selecting the number of components of this model as well as the other parameters by a penalized maximum ...
Cohen, Serge+2 more
core +2 more sources
ABSTRACT Objective People with multiple sclerosis (pwMS) may require a high level of daily assistance both for indoor and outdoor activities. Usually, relatives or friends provide daily support to MS patients who have lost personal autonomy. Several factors such as disability level and disease duration may affect the burden of care in caregivers of ...
Giuseppe Schirò+9 more
wiley +1 more source
Quantifying the Spatio-Temporal Process of Township Urbanization: A Large-Scale Data-Driven Approach
The integrated recognition of spatio-temporal characteristics (e.g., speed, interaction with surrounding areas, and driving forces) of urbanization facilitates regional comprehensive development.
Xinliang Liu+3 more
doaj +1 more source
Development of a Disease Model for Predicting Postoperative Delirium Using Combined Blood Biomarkers
ABSTRACT Objective Postoperative delirium, a common neurocognitive complication after surgery and anesthesia, requires early detection for potential intervention. Herein, we constructed a multidimensional postoperative delirium risk‐prediction model incorporating multiple demographic parameters and blood biomarkers to enhance prediction accuracy ...
Hengjun Wan+7 more
wiley +1 more source
The seasonal dynamics of esca leaf symptom development were monitored and modelled over 10 years (from 2004 to 2006, 2012 to 2014, and 2018 to 2021) in eleven vineyards near Bordeaux (France) and on five cultivars, including three susceptible and two ...
Pascal Lecomte+5 more
doaj +1 more source