Nanopatterning of plasma polymer reactive surfaces by DUV interferometry

A new method is described for producing patterned solid surfaces with reactive groups. This entails pulsed plasma deposition of anhydride functionalized films, followed by the covalent attachment of an amine-terminated nucleophile via aminolysis reaction. Characterization of the surface chemistry was achieved by XPS, PM-IRRAS and contact angle measurement. Patterning was achieved by DUV irradiation using an ArF excimer laser and an interferometric set-up. Well-defined patterns have been obtained at different scales on a large surface area and using this unique procedure. Spectroscopic characterizations coupled with AFM measurements allow explanation to some measure of the photoinduced phenomena. Trenches with a width ranging from 75 to 500?nm and a depth up to 30?nm were written. Using this approach it is possible to create combinatorial patterned surfaces with well-controlled topography and chemistry.     

Human platelets release a paf-acether: Acetylhydrolase similar to that in plasma

Intact washed human platelets aggregated in response to paf-acether (paf) and did not metabolize [³H]paf at concentrations up to 10 nM. However, when platelets were lysed by exposure to pH 9.5, resulting in 37.5±2.5% (mean ±SD, n=3) lactic dehydrogenase (LDH) release, 20.5±5.7% of the radioactivity was detected as labeled lyso paf and 5.7±3.1% as labeled alkylacylglycerophosphocholine. When platelets were aggregated with 0.5 IU/mL thrombin or high concentrations of paf (100 nM), they released a part of their acetylhydrolase without releasing LDH. In supernatants obtained from aggregated platelets, 21±2% or 10±2% (n=3), respectively, of the total platelet acetylhydrolase activity was detectedvs. none in supernatants of resting cells. The release of acetylhydrolase was concentration-and time-dependent and paralleled the release of PF 4, a marker for α-granules. The acetylhydrolase affinity for paf (K_m) measured in sonicates of resting and thrombin-activated platelets was 8.3±1.5 μMvs. 10.6±1.5 μM, n=5, n.s. in a “Mann Whitney” test. The latter K_m was slightly but significantly different (P<0.05, n=5) from that of the thrombin-released acetylhydrolase (7.9 ±1.5 μM) and that of the latter was itself different from plasma acetylhydrolase (5.3±0.5,P<0.05, n=5). Addition of plasma (acid-treated to inactivate acetylhydrolase) decreased the K_m value of supernatant acetylhydrolase to 6.1±1.4 μM. All preparations of acetylhydrolase exhibited similar pH requirements and sensitvity to various inhibitors. Thus paf and thrombin cause release of acetylhydrolase from platelets in parallel with release of the α-granule marker PF4. This phenomenon might represent a protective mechanism against paf-mediated effects in thrombotic and cardiovascular diseases. This study has been presented in part as a preliminary report at the 72nd Annual Meeting of the Federation of American Societies for Experimental Biology, Las Vegas, NV, May 1988 (1).     

Robust Finite Volume Schemes for Two-Fluid Plasma Equations

Two-fluid plasma equations are derived by taking moments of Boltzmann equations. Ignoring collisions and viscous terms and assuming local thermodynamic equilibrium we get five moment equations for each species (electrons and ions), known as two-fluid plasma equations. These equations allow different temperatures and velocities for electrons and ions, unlike ideal magnetohydrodynamics equations. In this article, we present robust second order MUSCL schemes for two-fluid plasma equations based on Strang splitting of the flux and source terms. The source is treated both explicitly and implicitly. These schemes are shown to preserve positivity of the pressure and density. In the case of explicit treatment of source term, we derive explicit condition on the time step for it to be positivity preserving. The implicit treatment of the source term is shown to preserve positivity, unconditionally. Numerical experiments are presented to demonstrate the robustness and efficiency of these schemes.     

FIB Aplasia through probabilistic routing and autoforwarding

In this work, we propose Aplasia, an holistic architecture with a radical design. Aiming at simplifying the inner network devices (and so their cost), we tradeoff node architecture- and algorithmic-complexity for an increased (but tunable) communication cost. The main ingredients of our recipe are (i) the use of complete paths directly in the frames header, that allows core devices to perform data-plane switching functions without lookup and (ii) the use of a greedy probabilistic routing algorithm to quickly discover multiple, near optimal, paths in the control plane. We extensively simulate, analyze and implement our proposal to testify its soundness.     

Occurrence and weight-of-evidence risk assessment of alkyl sulfates, alkyl ethoxysulfates, and linear alkylbenzene sulfonates (LAS) in river water and sediments

Alkyl sulfates (AS), alkyl ethoxysulfates (AES) and linear alkyl benzene sulfonates (LAS) are all High Production Volume (HPV) and 'down-the-drain' chemicals used globally in detergent and personal care products, resulting in low levels ultimately released to the environment via wastewater effluent. Due to their surfactant properties, they preferentially sorb to sediments. Hence, assessment of their levels and potential perturbations on benthos are of interest. The relative levels of AS/AES decreased with distance from the wastewater treatment plant outfall. However, this was not evident for LAS. Short chained AES and especially AS dominated the homologue distribution for AES. There were no evident patterns in LAS homologue distribution. The overall mean margin of exposure (MoE) for AS/AES and LAS is approximately 40 (range: 3 to 100) suggesting no noteworthy perturbation on biota. The findings in this study are in concordance with previous preliminary hazard screening. Comparative sediment contamination analyses principally based on Chapman and Anderson [Chapman PM, Anderson, J. A decision-making framework for sediment contamination. Integr Environ Assess Mana. 2005; 1: 163-173.] and the U.S. Environmental Protection Agency RAPID assessment methods [USEPA. Rapid bioassessment protocols for use in wadeable streams and rivers: Periphyton, benthic, macroinvertebrates, and fish. 1999. Second Edition. U.S. Environmental Protection Agency Office of Water, Washington, D.C. EPA 841-B-99-002.] did not reveal significant correlations between the surfactant concentrations and ecological status of the sampling locations. Several Lines of Evidence (LoE) of the Weight-of-Evidence (WoE) lead to the conclusion of low aquatic risk associated to the monitored compounds.     

A Comparison of Variational and Markov Chain Monte Carlo Methods for Inference in Partially Observed Stochastic Dynamic Systems

In recent work we have developed a novel variational inference method for partially observed systems governed by stochastic differential equations. In this paper we provide a comparison of the Variational Gaussian Process Smoother with an exact solution computed using a Hybrid Monte Carlo approach to path sampling, applied to a stochastic double well potential model. It is demonstrated that the variational smoother provides us a very accurate estimate of mean path while conditional variance is slightly underestimated. We conclude with some remarks as to the advantages and disadvantages of the variational smoother.     

Leveraging countermeasures as a service for VoIP security in the cloud

The emergence of cloud computing is contributing to the integration of multiple services, in particular VoIP services. While the cloud has recently been used for performing security attacks targeting IP telephony, it also provides new opportunities for supporting the security of this service. In that context, we propose a risk management strategy for VoIP cloud based on security countermeasures that may be outsourced as services. We present the architecture of our solution and its components in the context of services implementing the SIP protocol. We describe the mathematical modelling supporting our approach and detail different treatment strategies for the application of countermeasures. Finally, we quantify the benefits and limits of these strategies based on extensive simulation results. When a countermeasure fails, these strategies allow us to maintain the risk level low at an additional cost of up to 7%, or to accept an additional risk of up to 12%. They can also be combined to obtain a trade‐off between cost and performance. Copyright © 2013 John Wiley & Sons, Ltd.     

Flame balls in mixing layers

We present a study of flame balls in a two-dimensional mixing layer with one objective being to derive an ignition criterion (for triple-flames) in such a non-homogeneous reactive mixture. The problem is formulated within a thermo-diffusive single-reaction model and leads for large values of the Zeldovich number β$\beta$ to a free boundary problem. The free boundary problem is then solved analytically in the asymptotic limit of large values of the Damköhler number, which represents a non-dimensional measure of the (square of the) mixing layer thickness. The explicit solution, which describes a non-spherical flame ball generalising the classical Zeldovich flame balls (ZFB) to a non-uniform mixture, is shown to exist only if centred at a single location. This location is found to be precisely that of the leading-edge of a triple-flame in the mixing layer, and typically differs from the location of the stoichiometric surface by an amount of order β^-1${\beta }^{-1}$ depending only on a normalised stoichiometric coefficient Δ$\Delta$.     

Employing electricity-consumption monitoring systems and integrative time-series analysis models: A case study in Bogor,Indonesia

The Paris Agreement calls for maintaining a global temperature less than 2°C above the pre-industrial level and pursuing efforts to limit the temperature increase even further to 1.5°C. To realize this objective and promote a low-carbon society, and because energy production and use is the largest source of global greenhouse-gas (GHG) emissions, it is important to efficiently manage energy demand and supply systems. This, in turn, requires theoretical and practical research and innovation in smart energy monitoring technologies, the identification of appropriate methods for detailed time-series analysis, and the application of these technologies at urban and national scales. Further, because developing countries contribute increasing shares of domestic energy consumption, it is important to consider the application of such innovations in these areas. Motivated by the mandates set out in global agreements on climate change and low-carbon societies, this paper focuses on the development of a smart energy monitoring system (SEMS) and its deployment in households and public and commercial sectors in Bogor, Indonesia. An electricity demand prediction model is developed for each device using the Auto-Regression eXogenous model. The real-time SEMS data and time-series clustering to explore similarities in electricity consumption patterns between monitored units, such as residential, public, and commercial buildings, in Bogor is, then, used. These clusters are evaluated using peak demand and Ramadan term characteristics. The resulting energy-prediction models can be used for low-carbon planning.