Antennae of the tobacco hornworm moths Manduca sexta contain an aldehyde oxidase (AOX) that oxidizes aldehydes to carboxylic acids. The enzyme, which is distinguishable from aldehyde-oxidizing activities in other tissues, is secreted into the receptor lymph that bathes the primary olfactory dendrites. First detectable about 3 d before eclosion, AOX levels increase through the first day after eclosion. This parallels the development of the antennal responsiveness to bombykal (a male attractant aldehydic pheromone produced by female M. sexta) and trans-2-hexenal (an aldehyde commonly found in leaves). The AOX is about 60% more abundant in antennae of males than in antennae of females. The antennal AOX is a dimer with Mr of 295 kDa and is capable of oxidizing a variety of aldehydes. Of all aldehydes examined, the pheromone bombykal was the best substrate with an apparent Km of 5 microM, whereas the next best substrate, benzaldehyde, had an apparent Km of 255 microM. Using kinetic parameters estimated in vitro and the assumption of first-order kinetics, the half-life of bombykal in sensilla was estimated to be about 0.6 msec. The affinity of the antennal AOX for bombykal, its location in the receptor lymph, and its pattern of developmental expression all suggest that it plays a role in modulating the sensitivity of adult M. sexta to aldehyde odors and, in particular, the sensitivity of males to the pheromone bombykal.

Abstract-Integrated Development Environments (IDEs) have come to perform a wide variety of tasks on behalf of the programmer, refactoring being a classic example. These operations have undeniable benefits, yet their large (and growing) number poses a cognitive scalability problem. Our main contribution is WitchDoctor -a system that can detect, on the fly, when a programmer is hand-coding a refactoring. The system can then complete the refactoring in the background and propose it to the user long before the user can complete it. This implies a number of technical challenges. The algorithm must be 1) highly efficient, 2) handle unparseable programs, 3) tolerate the variety of ways programmers may perform a given refactoring, 4) use the IDE's proven and familiar refactoring engine to perform the refactoring, even though the the refactoring has already begun, and 5) support the wide range of refactorings present in modern IDEs. Our techniques for overcoming these challenges are the technical contributions of this paper.We evaluate WitchDoctor's design and implementation by simulating over 5,000 refactoring operations across three opensource projects. The simulated user is faster and more efficient than an average human user, yet WitchDoctor can detect more than 90% of refactoring operations as they are being performed -and can complete over a third of refactorings before the simulated user does. All the while, WitchDoctor remains robust in the face of non-parseable programs and unpredictable refactoring scenarios. We also show that WitchDoctor is efficient enough to perform computation on a keystroke-by-keystroke basis, adding an average overhead of only 15 milliseconds per keystroke.

No abstract

Wikipedia is a large and rapidly growing Web-based collaborative authoring environment, where anyone on the Internet can create, modify, and delete pages about encyclopedic topics. A remarkable property of some Wikipedia pages is that they are written by up to thousands of authors who may have contradicting opinions. In this paper, we show that a visual analysis of the 'who revises whom'-network gives deep insight into controversies. We propose a set of analysis and visualization techniques that reveal the dominant authors of a page, the roles they play, and the alters they confront. Thereby we provide tools to understand how Wikipedia authors collaborate in the presence of controversy.

Research into psychosocial interventions (particularly cognitive-behavior therapies and social skills training) for social-communication deficits among individuals with autism spectrum disorder (ASD) has proliferated over the past decade. While this research has provided some empirical support for the efficacy of these interventions, little work has begun to elucidate therapeutic mechanisms-the when, why, how, for whom, and under what conditions an intervention may produce change, identification of mechanisms underlying these effects should help advance ASD intervention research. This article describes methods for assessing such mechanisms (ie, mediators and moderators) and presents promising candidates for common mechanisms impacting treatment response: behavior modification, therapeutic relationship, social knowledge, social motivation, social information processing, executive functioning, and internalizing comorbidities. Finally, future directions are discussed as a program of psychosocial intervention research designed to identify predictors of individual differences in treatment response (including biomarkers), isolate active therapeutic ingredients, and promote dissemination of optimized interventions.