165 research outputs found
First person – Alexander Auld
ABSTRACT
First Person is a series of interviews with the first authors of a selection of papers published in Journal of Cell Science, helping early-career researchers promote themselves alongside their papers. Alexander Auld is the first author on ‘Aplip1, the Drosophila homolog of JIP1, regulates myonuclear positioning and muscle stability’, published in Journal of Cell Science. Alexander is a PhD student in the lab of Dr Eric Folker at Boston College, Chestnut Hill, USA, investigating muscle development with a focus on the mechanisms and function of nuclear movement.</jats:p
Doug Auld—Interview for November 2016 issue of Assays and Drug Dev. Technologies (Mary Ann Liebert Inc., publishing).
Profile interview for Assay and Drug Dev. Technol
The Peregrinations of Auld Robin Gray and Eugénie Grandet
It is a commonplace of Balzac criticism that the sources of the Comédie humaine are multiple, complex and often revisited by the author. A poem/song, Roben Gray published by the Société des études balzaciennes and ostensibly in the hand of the young Balzac, may provide an indication of an early and hitherto unidentified inspirational source for Eugénie Grandet. The work in question is a translation into French of a Scots song, Auld Robin Gray, dating from the middle of the 18th century by Lad..
1968 BUSA Council
Pictured here from right to left and back to front are Geoff Eden, Bob Campbell, Pat Beard, Doug Chapman, Mike Wheeler, Peter Dixon, ?, John Auld, ?, Richard Harlow, Nigel Hussey, Ian Beddis, and Tom Goldspink
Reconciling Versioning and Context in Hypermedia Structure Servers
Contextual structure servers and versioning servers share a similar goal in allowing different views on a stored structure according to the viewer’s perspective. In this paper we argue that a generic contextual model can be used to facilitate versioning. In order to prove our hypothesis we have drawn on our experiences with OHP-Version to extend FOHM’s contextual model
Aerodynamic Shape Optimisation of Unmanned Aerial Vehicles using Hierarchical Asynchronous Parallel Evolutionary Algorithms
One of the challenges in Unmanned (Combat) Aerial Vehicles (UCAV) is the improvement of aerodynamic performance to complete diverse missions, increase endurance and lower fuel consumption. Recent advances in design tools, materials, electronics and actuators have opened the door for implementation of transonic flow control technologies to improve aerodynamic efficiency. This paper explores the application of a robust Multi-Objective Evolutionary Algorithm (MOEA) for the design and optimisation of aerofoil sections and wing planform of UAVs and UCAVs. The methodology is based on a canonical evolution strategy and incorporates the concepts of hierarchical topology, parallel computing and asynchronous evaluation. For the design and optimisation of UCAV wing planform shape, an aero-diamond planform shape with a jagged trailing edge is considered like saw tooth. Results obtained from the combination between the approach and the aerodynamic analysis tools show the improvement of the aerodynamic efficiency, a set of shock-free aerofoils and the supercritical aero-diamond wing. Results also indicate that the method is capable to produce non-dominated solutions
Auld Langsyne
Common New Year songhttps://egrove.olemiss.edu/kgbsides_uk/1998/thumbnail.jp
The Ethanol Trap: Why Policies to Promote Ethanol as Fuel Need Rethinking
Government support for ethanol production is expensive for governments and costly for consumers.economic growth and innovation, ethanol fuel
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