Aerodynamic and Structural Design of a Winglet for Enhanced Performance of a Business Jet

The preliminary design of a winglet to improve the range and fuel burn of the Falcon 10 business jet is presented. Twelve candidate geometries were studied varying the cant angle and the span. The configuration offering the best compromise between induced drag reduction, profile drag increase and weight increase due to the winglet structure and necessary wing structural reinforcement was selected. More refined analysis was performed for that winglet with Reynolds averaged Navier-Stokes computational fluid dynamics and finite element analysis. Range and fuel burn were finally calculated for a typical mission using these refined results. The selected winglet, with a span of 3.219 ft, a cant angle of 45° and a sweep angle of 40° increases range by 3.3% and saves about 3.8% of fuel on a 1200 Nm mission

Magnetic Shield for Adiabatic Demagnetization Refrigerators (ADR)

A new method was developed for creating a less expensive shield for ADRs using 1018 carbon steel. This shield has been designed to have similar performance to the expensive vanadium permendur shields, but the cost is 30 to 50% less. Also, these shields can be stocked in a variety of sizes, eliminating the need for special forgings, which also greatly reduces cost

Calibration and validation strategy for 2D hydrodynamic modelling: application to morphodynamics of a gravel-bed river with suspended sediments

Hydrodynamic

Quantification of levoglucosan and its isomers by High Performance Liquid Chromatography - Electrospray Ionization tandem Mass Spectrometry and its application to atmospheric and soil samples

http://www.atmos-meas-tech-discuss.net/4/4539/2011/amtd-4-4539-2011.htmlInternational audienceThe determination of atmospheric concentrations of levoglucosan and its two isomers, unambiguous tracers of biomass burning emissions, became even more important with the development of wood as renewable energy for domestic heating. Many researches demonstrated the increase during recent years of atmospheric particulate matter load due to domestic biomass combustion in developed countries. Analysis of biomass burning tracers is traditionally performed with Gas Chromatography-Mass Spectrometry (GC-MS) technique after derivatization and requires an organic solvent extraction. A simpler and faster technique using Liquid Chromatography - Electrospray Ionisation - tandem Mass Spectrometry (LC-ESI-MS/MS) was optimized for the analysis of levoglucosan, mannosan and galactosan isomers after an aqueous extraction. This technique allows a good separation between the three compounds in a very reduced time (runtime ~5 min). LOD and LOQ of this method are 30 μg l−1 and 100 μg l−1 respectively, allowing the use of filters from low-volume sampler (as commonly used in routine campaigns). A comparison of simultaneous levoglucosan measurements by GC-MS and LC-ESI-MS/MS for about 50 samples coming from different types of sampling sites and seasons was realized and shows very good agreement between the two methods. Therefore LC-ESI-MS/MS method can be used as an alternative to GC-MS particularly for measurement campaigns in routine where analysis time is important and detection limit is reduced. This paper shows that this method is also applicable to other environmental sample types like soil

Getting a Clean Shot on a Blurred Target: Improving Targeting for Strategic Scanning through Action Research in 10 French Organizations

Targeting comprises defining the part of the business environment that corresponds to organizations’ strategic objectives and priorities. Targeting is not an easy process because it includes the interaction of managers who come from different organizational units that might have a fragmentary and blurred understanding of the overall issue. Through an action research, we designed and evaluated a GSS to help managers target strategic scanning in fuzzy contexts. Evaluations through interventions in 10 French organizations allowed both participants to achieve relevant targets and researchers to propose four major improvements to targeting activities: 1) use suggested lists of actors and topics as starting points to trigger and facilitate discussions, 2) define actor and topic importance to produce useful targeting results, 3) evaluate the organization’s perceived capacity to be informed early enough, and 4) define a mechanism to signal scanning relevancy in the short, mid-, or long term. From a management perspective, our results help managers in their strategic scanning activity by 1) identifying information needs for strategically scanning fuzzy subjects, 2) reducing risk of strategic scanning failure, 3) enabling organizations to assess their scanning capabilities, 4) identifying scanning priorities according to a temporal horizon, and 5) fostering teamwork participation

Directed networks as a novel way to describe and analyze cardiac excitation : directed graph mapping

Networks provide a powerful methodology with applications in a variety of biological, technological and social systems such as analysis of brain data, social networks, internet search engine algorithms, etc. To date, directed networks have not yet been applied to characterize the excitation of the human heart. In clinical practice, cardiac excitation is recorded by multiple discrete electrodes. During (normal) sinus rhythm or during cardiac arrhythmias, successive excitation connects neighboring electrodes, resulting in their own unique directed network. This in theory makes it a perfect fit for directed network analysis. In this study, we applied directed networks to the heart in order to describe and characterize cardiac arrhythmias. Proof-of-principle was established using in-silico and clinical data. We demonstrated that tools used in network theory analysis allow determination of the mechanism and location of certain cardiac arrhythmias. We show that the robustness of this approach can potentially exceed the existing state-of-the art methodology used in clinics. Furthermore, implementation of these techniques in daily practice can improve the accuracy and speed of cardiac arrhythmia analysis. It may also provide novel insights in arrhythmias that are still incompletely understood

Secondary organic aerosol formation from smoldering and flaming combustion of biomass: a box model parametrization based on volatility basis set

International audienceResidential wood combustion remains one of the most important sources of primary organic aerosols (POA) and secondary organic aerosol (SOA) precursors during winter. The overwhelming majority of these precursors have not been traditionally considered in regional models, and only recently were lignin pyrolysis products and polycyclic aro-matics identified as the principal SOA precursors from flam-ing wood combustion. The SOA yields of these components in the complex matrix of biomass smoke remain unknown and may not be inferred from smog chamber data based on single-compound systems. Here, we studied the ageing of emissions from flaming and smoldering-dominated wood fires in three different residential stoves, across a wide range of ageing temperatures (− 10, 2 and 15 • C) and emission loads. Organic gases (OGs) acting as SOA precursors were monitored by a proton-transfer-reaction time-of-flight mass spectrometer (PTR-ToF-MS), while the evolution of the aerosol properties during ageing in the smog chamber was monitored by a high-resolution time-of-flight aerosol mass spectrometer (HR-ToF-AMS). We developed a novel box model based on the volatility basis set (VBS) to determine the volatility distributions of the oxidation products from different precursor classes found in the emissions, grouped according to their emission pathways and SOA production rates. We show for the first time that SOA yields in complex emissions are consistent with those reported in literature from single-compound systems. We identify the main SOA precursors in both flaming and smoldering wood combustion emissions at different temperatures. While single-ring and polycyclic aromatics are significant precursors in flam-ing emissions, furans generated from cellulose pyrolysis appear to be important for SOA production in the case of smoldering fires. This is especially the case at high loads and low temperatures, given the higher volatility of furan oxidation products predicted by the model. We show that the oxidation products of oxygenated aromatics from lignin pyrolysis are expected to dominate SOA formation, independent of the combustion or ageing conditions, and therefore can be used as promising markers to trace ageing of biomass smoke in the field. The model framework developed herein may be gener-alizable for other complex emission sources, allowing determination of the contributions of different precursor classes to SOA, at a level of complexity suitable for implementation in regional air quality models

Chemical meningitis and syndrome of inappropriate antidiuretic hormone release (SIADH): a rare presentation of pituitary adenoma apoplexy

Pituitary apoplexy is an uncommon condition typically resulting from a sudden haemorrhage within a pituitary adenoma. This bleed can present clinically with a wide array of signs and symptoms. This report documents the case of a 62-year-old male who presented to the Lebanese Hospital Geitaoui University Medical Center with signs and symptoms of meningeal irritation. He was initially thought to have meningitis, and was started on antibiotics; he was then found to have pituitary adenoma apoplexy that was complicated by syndrome of inappropriate antidiuretic hormone release (SIADH). The patient was successfully treated with antibiotics, and fluid restriction and hypertonic saline after ruling out other more common causes for his hyponatraemia, before undergoing a transsphenoidal resection of the pituitary adenoma. A three-month follow-up evaluation of the patient demonstrated the absence of hormonal imbalances and the absence of residual tumours on imaging

Self-Timed Masking: Implementing Masked S-Boxes Without Registers

Masking is one of the most used side-channel protection techniques. However, a secure masking scheme requires additional implementation costs, e.g. random number, and transistor count. Furthermore, glitches and early evaluation can temporally weaken a masked implementation in hardware, creating a potential source of exploitable leakages. Registers are generally used to mitigate these threats, hence increasing the implementation\u27s area and latency. In this work, we show how to design glitch-free masking without registers with the help of the dual-rail encoding and asynchronous logic. This methodology is used to implement low-latency masking with arbitrary protection order. Finally, we present a side-channel evaluation of our first and second order masked AES implementations