Results 51 to 60 of about 75,209 (310)
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
SMT-based bounded model checking of multi-threaded software in embedded systems
Our reliance on the correct functioning of embedded systems is growing rapidly. Such systems are used in a wide range of applications such as airbag control systems, mobile phones, and high-end television sets.
Cordeiro, Lucas +2 more
core +1 more source
Electron transfer between complexes III and IV in S. cerevisiae mitochondrial membranes
Mitochondrial oxidative phosphorylation in S. cerevisiae mitoplasts is limited by complex IV catalytic capacity, rather than two‐dimensional cytochrome c diffusion. At physiological cytochrome c : supercomplex ratios at salinity equivalent to that of 20 mm monovalent salt, activity is maximized, indicating that this low ionic strength accurately mimics
Ana Paula Lobez +2 more
wiley +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
A bounded-error approach to accuracy analysis in ellipsometry [PDF]
A nonlinear bounded-error estimation method is applied to the case of ellipsometric measurement of film properties. It is shown that this method can be used with advantage for estimating the magnitude of the measurement errors including systematic ...
Smit, M.K., Verhoof, J.W.
core +1 more source
Estimating a Bounded Normal Mean Relative to Squared Error Loss Function [PDF]
Let be a random sample from a normal distribution with unknown mean and known variance The usual estimator of the mean, i.e., sample mean is the maximum likelihood estimator which under squared error loss function is minimax and admissible ...
A. Karimnezhad
doaj
Space-Efficient Quantum Error Reduction without log Factors [PDF]
Given an algorithm that outputs the correct answer with bounded error, say $1/3$, it is sometimes desirable to reduce this error to some arbitrarily small $\varepsilon$ – e.g., if one wants to call the algorithm many times as a subroutine.
Aleksandrs Belovs, Stacey Jeffery
doaj +1 more source
Modeling Uncertain Dynamic Plants With Interval Neural Networks by Bounded-Error Data
This paper presents a novel approach to building an interval dynamic model for an industrial plant with uncertainty by an interval neural network (INN). A new type of randomized learner model, named interval random vector functional-link network (IRVFLN),
Shouping Guan, Zihe Zhang, Zhouying Cui
doaj +1 more source
A comparison and error analysis of error bounds
Summary: In this paper, we present an error analysis with the help of Ostrowski type inequalities for \(n\)-times differentiable mappings by using \(n\)-times Peano kernel. A comparison is also presented which shows that obtained error bounds are better than the previous error bounds.
A. R. Kashif +3 more
openaire +3 more sources
Protein aggregates threaten proteostasis and cell health. In human cells, Hsp70–J‐domain protein‐based disaggregases remove aggregates, but how they assemble remains unclear. Our biochemical findings show that DNAJA2‐ and DNAJB1‐containing disaggregase scaffolds enhance luciferase aggregate targeting, and that Hsp70 recruitment by both J‐domain ...
Anna Szlachcic, Nadinath B. Nillegoda
wiley +1 more source

