A comparative study on bilayers of diphytanoyl phosphatidylcholine (DPhPC) and bilayers of dimyristoyl phosphatidylcholine (DMPC) was made by X-ray lamellar diffraction as a function of temperature and the degree of hydration. An order-disorder phase transition of DPhPC reveals an interesting contrast to the standard model of DMPC. Electron density profiles allow us to deduce the conformational...

Recently, we have introduced a distributed version of Han’s method that can be used for distributed model predictive control (DMPC) of dynamically coupled linear systems, under coupling constraints (Doan et al., 2009). Some DMPC problems of water networks can be cast into this type. In this paper, we propose an improved version of this method and apply it to a canal system. The simulation resul...

In this paper, a non-cooperative distributed model predictive control (DMPC) algorithm for tracking constant references is developed and evaluated. As such, an augmented model is employed (i.e. the control loop is embedded with integrators) and the augmented state contains the state increments and the error between the reference and the predicted output. The algorithm is tested in real life exp...

The mechanism of action of bovine milk lipoprotein lipase (LpL) was studied with a water-soluble substrate of p-nitrophenylbutyrate (PNPB). The calculated maximal velocity ( Vmm) and Michaelis constant (Km) values at 37 "C were 2.0 pmol of p-nitrophenol released/min/ mg of LpL and 0.52 mM, respectively. The addition of phospholipid vesicles enhanced the rate of PNPB hydrolysis by LpL. In the pr...

the interaction between proteins and membranes has an important role in biological pro-cesses.we have calculated energies of interaction between melittin and dmpc bilayer in differenttemperatures. we have used the charmm software for md simulation under the canonical (n,v, e) ensemble at different temperatures. the computations have shown that water moleculeshave more penetration into the bilay...

This paper presents a chance constrained stochastic model predictive control (SMPC) approach for building climate under combined parametric and additive uncertainties. The proposed SMPCap enables the quantification, manipulation, of both mean covariance system states inputs. Its enhanced uncertainty anticipation is shown to induce improved thermal comfort in closed-loop simulations compared con...

Distributed model predictive control (DMPC) is often used to tackle path planning for unmanned aerial vehicle (UAV) swarms. However, it requires considerable computations on-board the UAV, leading increased weight and power consumption. In this work, we propose offload multiple ground-based computation units. As simultaneously communicating recomputing all trajectories not feasible a large swar...

This article studies the formation stabilization problem of asynchronous nonlinear multiagent systems (MAS) subject to parametric uncertainties, external disturbances, and bounded time-varying communication delays. A self-triggered min–max distributed model predictive control (DMPC) approach is proposed address this problem. At triggering instants, each agent solves a local optimization based o...

This study deals with the structural perturbations that the aminoglycoside antibiotic gentamicin (GENT) can produce to phospholipid bilayers. Two multi-bilayer systems, one built-up of dimyristoylphosphatidylcholine (DMPC) and the other of dimyristoylphosphatidylethanolamine (DMPE) were allowed to interact with GENT. The experiments were performed in both a hydrophobic and a hydrophilic medium ...