753 research outputs found
Recommended from our members
Using automatic differentiation with the quasi-procedural method for multidisciplinary design optimaization
As computers have become increasingly powerful, the field of design optimization has moved toward higher fidelity models (involving many more variables) in the early stages of design. One way in which this movement has manifested itself is in the increasing popularity of multidisciplinary design optimization (MDO). Because the models used in MDO are large and very complicated, a modular design is desirable. Because there are many- design parameters to optimize, derivatives must be computed accurately and efficiently. This paper describes how the quasi-procedural program architecture developed by Takai and Kroo [9] and the technique of automatic differentiation [6] can be combined to effectively address these needs. The two techniques are explained, the manner in which they were integrated into a single framework is described, and the result of using this framework for an optimization problem in airplane design is presented
A new model of how celebrity endorsements work: attitude toward the endorsement as a mediator of celebrity source and endorsement effects
This research introduces attitude towards the endorsement as a mediating variable in the relationships between celebrity source and endorsement factors and brand attitude. It also includes perceived celebrity motive, a variable rarely studied in the previous literature, as an endorsement factor. In a survey study, respondents evaluated four celebrity endorsement campaigns. Mediation analyses show that attitude towards the endorsement mediates the effects of three variables on brand attitude; these variables are celebrity expertise, celebrity–brand fit, and perceived celebrity motive. Moreover, results show that if consumers perceive that the celebrity was motivated to do the endorsement not only by money but also by product quality, this has a significant positive effect on attitude towards the brand
The Impact of Persuasive Messages on IAT Performance is Moderated by Source Attractiveness and Likeability
In two studies, participants read persuasive messages introduced by an attractive (Study 1) or likeable (Study 2) source before completing measures of implicit and explicit evaluations. The persuasive messages were in favor of an unfamiliar brand of facial soap (Study 1) and the implementation of comprehensive examinations at the participants' university (Study 2). Results showed that persuasive messages had a stronger impact on an Implicit Association Test when the source was high in attractiveness or likeability (Study 1 and Study 2); responses on an Affect Misattribution Procedure, though in the predicted direction, were not significantly impacted by a source high in likeability (Study 2). These findings parallel those of numerous studies that, however, have looked almost exclusively at persuasion of explicit evaluations. They confirm that implicit evaluations can be changed through direct persuasive appeals and provide new information about the conditions under which persuasion of implicit evaluations can be found
Keck Interferometer Nuller Data Reduction and On-Sky Performance
We describe the Keck Interferometer nuller theory of operation, data reduction, and on-sky performance, particularly as it applies to the nuller exozodiacal dust key science program that was carried out between 2008 February and 2009 January. We review the nuller implementation, including the detailed phasor processing involved in implementing the null-peak mode used for science data and the sequencing used for science observing. We then describe the Level 1 reduction to convert the instrument telemetry streams to raw null leakages, and the Level 2 reduction to provide calibrated null leakages. The Level 1 reduction uses conservative, primarily linear processing, implemented consistently for science and calibrator stars. The Level 2 processing is more flexible, and uses diameters for the calibrator stars measured contemporaneously with the interferometer’s K-band cophasing system in order to provide the requisite accuracy. Using the key science data set of 462 total scans, we assess the instrument performance for sensitivity and systematic error. At 2.0 Jy we achieve a photometrically-limited null leakage uncertainty of 0.25% rms per 10 minutes of integration time in our broadband channel. From analysis of the Level 2 reductions, we estimate a systematic noise floor for bright stars of ~0.2% rms null leakage uncertainty per observing cluster in the broadband channel. A similar analysis is performed for the narrowband channels. We also provide additional information needed for science reduction, including details on the instrument beam pattern and the basic astrophysical response of the system, and references to the data reduction and modeling tools
The dusty AGB star RS CrB: first mid-infrared interferometric observations with the Keck Telescopes
We report interferometric observations of the semi-regular variable star RS
CrB, a red giant with strong silicate emission features. The data were among
the first long baseline mid-infrared stellar fringes obtained between the Keck
telescopes, using parts of the new nulling beam combiner. The light was
dispersed by a low-resolution spectrometer, allowing simultaneous measurement
of the source visibility and intensity spectra from 8 to 12 microns. The
interferometric observations allow a non-ambiguous determination of the dust
shell spatial scale and relative flux contribution. Using a simple
spherically-symmetric model, in which a geometrically thin shell surrounds the
stellar photosphere, we find that ~30% to ~70% of the overall mid-infrared flux
- depending on the wavelength - originates from 7-8 stellar radii. The derived
shell opacity profile shows a broad peak around 11 microns (tau ~ 0.06),
characteristic of Mg-rich silicate dust particles.Comment: Accepted for publication in ApJ Letter
Cyber security fear appeals:unexpectedly complicated
Cyber security researchers are starting to experiment with fear appeals, with a wide variety of designs and reported efficaciousness. This makes it hard to derive recommendations for designing and deploying these interventions. We thus reviewed the wider fear appeal literature to arrive at a set of guidelines to assist cyber security researchers. Our review revealed a degree of dissent about whether or not fear appeals are indeed helpful and advisable. Our review also revealed a wide range of fear appeal experimental designs, in both cyber and other domains, which confirms the need for some standardized guidelines to inform practice in this respect. We propose a protocol for carrying out fear appeal experiments, and we review a sample of cyber security fear appeal studies, via this lens, to provide a snapshot of the current state of play. We hope the proposed experimental protocol will prove helpful to those who wish to engage in future cyber security fear appeal research
The week after:Do the effects of imagined contact last over time?
The vast majority of studies assessing the prejudice reduction properties of imagined contact have focused so far on the immediate effects of the intervention. In an attempt to contribute to the literature examining the long-term effects of imagined contact, the two studies reported in this paper tested the immediate and long-term effects of imagined contact on outgroup attitudes, intergroup anxiety, and behavioral intentions in Experiment 1, and also on contact self-efficacy in Experiment 2. Both studies were conducted in a context of entrenched intergroup conflict, Cyprus. The results supported the effectiveness of imagined contact in eliciting more positive attitudes, lower levels of anxiety, more positive behavioral intentions, and higher contact self-efficacy when these were measured immediately after contact. However, evidence for the endurance of these effects was systematically found only for outgroup attitudes and intergroup anxiety. While these results speak to the ability of imagined contact to lead to long-term changes in important and commonly studied intergroup outcomes, lack of consistent evidence regarding its ability to yield lasting changes on variables pertaining to intended behavior toward the outgroup compose a challenge for the intervention
Elevated surface chlorophyll associated with natural oil seeps in the Gulf of Mexico
Natural hydrocarbon seeps occur on the sea floor along continental margins, and account for up to 47% of the oil released into the oceans. Hydrocarbon seeps are known to support local benthic productivity, but little is known about their impact on photosynthetic organisms in the overlying water column. Here we present observations with high temporal and spatial resolution of chlorophyll concentrations in the northern Gulf of Mexico using in situ and shipboard flow-through fluorescence measurements from May to July 2012, as well as an analysis of ocean-colour satellite images from 1997 to 2007. All three methods reveal elevated chlorophyll concentrations in waters influenced by natural hydrocarbon seeps. Temperature and nutrient profiles above seep sites suggest that nutrient-rich water upwells from depth, which may facilitate phytoplankton growth and thus support the higher chlorophyll concentrations observed. Because upwelling occurs at natural seep locations around the world, we conclude that offshore hydrocarbon seeps, and perhaps other types of deep ocean vents and seeps at depths exceeding 1,000 m, may influence biogeochemistry and productivity of the overlying water column
- …