Results 81 to 90 of about 231,256 (313)
The physical dimensions and shape of bacterial cells define the surface area available to acquire nutrients and the volume available for synthesizing proteins and DNA. Here, we use computational systems biology to decode the importance of cell geometry as a major determinant of prokaryotic phenotype, including growth rate and metabolic efficiency. This
Ross P. Carlson +6 more
wiley +1 more source
On the number of support points of maximin and Bayesian D-optimal designs in nonlinear regression models [PDF]
We consider maximin and Bayesian D-optimal designs for nonlinear regression models. The maximin criterion requires the specification of a region for the nonlinear parameters in the model, while the Bayesian optimality criterion assumes that a prior ...
Dette, Holger, Braess, Dietrich
core
On the Smith normal form of D-optimal designs
A \((2v\times 2v)\)-matrix with entries from \(\{-1, 1\}\) is called a \(D\)-optimal design of order \(2v\) if it has maximum determinant in the class of all matrices of this type. The authors study the Smith normal form (SNF) of designs in order to have sufficient conditions that two designs are not permutation-equivalent.
Koukouvinos, Christos +2 more
openaire +3 more sources
D-optimally Lack-of-Fit-Test-efficient Designs and Related Simple Designs
In practice it is often more popular to use a uniform than an optimal design for estimating the unknown parameters of a linear regression model. The reason is that the model can be checked by a uniform design but it cannot be checked by an optimal design
Wolfgang Bischoff
doaj +1 more source
We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace +6 more
wiley +1 more source
Efficient D-optimal designs under multiplicative heteroscedasticity. [PDF]
In optimum design theory designs are constructed that maximize the information on the unknown parameters of the response function. The major part deals with designs optimal for response function estimation under the assumption of homoscedasticity.
Goos, Peter +2 more
core
Simulations on the Combinatorial Structure of D-Optimal Designs [PDF]
In this work we present the results of several simulations on main-effect factorial designs. The goal of such simulations is to investigate the connections between the $D$-optimality of a design and its geometrical structure. By means of a combinatorial object, namely the circuit basis of the design matrix, we show that it is possible to define a ...
Roberto Fontana, Fabio Rapallo
openaire +4 more sources
RANCANGAN D-OPTIMAL MODEL MICHAELIS MENTEN DAN EMAX DENGAN MATLAB
Michaelis Menten and Emax models are widely used in chemistry, pharmacokinetics and pharmacodynamics areas. D-optimal criteria is criteria with the purpuse to minimize the variance of the estimator of parameters in the model. In this paper will discuss
Tatik Widiharih +3 more
doaj +1 more source
Structural insights and therapeutic targets in Acinetobacter baumannii capsule biosynthesis
Hypervirulent KL49 A. baumannii's capsular polysaccharide contains the nonulosonic acid 8‐epi‐Leg5,7Ac2, synthesized by epimerization via ElaA, ElaB, and ElaC. Crystal structures of ElaA, ElaB, and ElaC reveal their role in CMP‐Leg5,7Ac2 synthesis and regioselective C8 epimerization.
Woo Cheol Lee +7 more
wiley +1 more source
On optimal designs for nonlinear models: a general and efficient algorithm
Deriving optimal designs for nonlinear models is challenging in general. Although some recent results allow us to focus on a simple subclass of designs for most problems, deriving a specific optimal design mainly depends on algorithmic approaches.
Tang, Elina +2 more
core +1 more source

