Results 71 to 80 of about 214,638 (308)
A semi-linear boundary-value problem with nonlinear Robin boundary conditions is considered in a thin 3D aneurysm-type domain that consists of thin curvilinear cylinders that are joined through an aneurysm of diameter đ(Δ). Using the multi-scale analysis,
Melânyk Taras A. +1 more
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 (QCMâD) 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
The Impact of Short-Sale Constraints on Asset Allocation Strategies via the Backward Markov Chain Approximation Method [PDF]
This paper considers an asset allocation strategy over a finite period under investment uncertainty and short-sale constraints as a continuous time stochastic control problem.
Chih-Ying Hsiao, Carl Chiarella
core
A Survey of Results on the Limit -Bernstein Operator
The limit -Bernstein operator emerges naturally as a modification of the SzĂĄsz-Mirakyan operator related to the Euler distribution, which is used in the -boson theory to describe the energy distribution in a -analogue of the coherent state.
Sofiya Ostrovska
doaj +1 more source
Approximation-Aware Design of an Image-Based Control System
Image-based control (IBC) systems are common in many modern applications. In such systems, image-based sensing imposes massive compute workload, making them challenging to implement on embedded platforms.
Sayandip De +3 more
doaj +1 more source
Proteostasis and the gut microbiota play a key role in shaping host physiology. Microbiotaâderived metabolites, vitamins, and RNA modulate host proteostasis. Findings from model systems, including C. elegans, indicate microbes can either stabilize or disrupt host proteostasis.
Abhishek Anil Dubey, Maria Ermolaeva
wiley +1 more source
Impact of Approximate Multipliers on VGG Deep Learning Network
This paper presents a study on the applicability of using approximate multipliers to enhance the performance of the VGGNet deep learning network. Approximate multipliers are known to have reduced power, area, and delay with the cost of an inaccuracy in output. Improving the performance of the VGGNet in terms of power, area, and speed can be achieved by
Issam Hammad, Kamal El-Sankary
openaire +2 more sources
Country Portfolio Dynamics [PDF]
This paper presents a general approximation method for characterizing timevarying equilibrium portfolios in a two-country dynamic general equilibrium model.
Michael B Devereux, Alan Sutherland
core
A novel impact identification algorithm based on a linear approximation with maximum entropy [PDF]
This article presents a novel impact identification algorithm that uses a linear approximation handled by a statistical inference model based on the maximum-entropy principle, termed linear approximation with maximum entropy (LME).
Ortiz BernardĂn, Alejandro +2 more
core +1 more source
Recent studies have emphasized that there is no justification for using the odds ratio (OR) as an approximation of the relative risk (RR) or prevalence ratio (PR).
Suzi Alves Camey +4 more
doaj +1 more source

