2,770 research outputs found

    The Influence of Customized Internet Banner Ad on Attitude-Ad-Brand-Behavioural Relationship

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    This paper examines the influence of customizing banner ads to entice higher users’ interactivity and sequentially builds not only positive attitudes toward the ad and the brand but also positive behavioral outcomes. It also attempts to introduce a new profilingtargeting parameter based on psychographics for customizing banner ad based on Internet user’s individual differences according to their personality, types of goal-directed motives and preferred information processing strategies. Data was gathered through an online survey with a sample of 385 respondents. The Covariance Structural Modeling results supported a positive attitude-ad-brand-behavioral relationship. Positive attitude towards the ad generates more positive behavioral outcomes. Contrary to expectations, the results did not support the proposition that a positive brand attitude produces more positive behavioral outcomes. The findings provide evidence to support the proposition that customization of banner ads’ creative and appeals (in terms of presentation modality, verbal versus visual presentation and information-rational versus entertainment-emotional appeals) based on users’ individual differences in need for cognition, goal-directed motives and preferred information processing strategies effects positive attitudes toward the ad and the brand

    The value of hippocampal and temporal horn volumes and rates of change in predicting future conversion to AD.

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    Hippocampal pathology occurs early in Alzheimer disease (AD), and atrophy, measured by volumes and volume changes, may predict which subjects will develop AD. Measures of the temporal horn (TH), which is situated adjacent to the hippocampus, may also indicate early changes in AD. Previous studies suggest that these metrics can predict conversion from amnestic mild cognitive impairment (MCI) to AD with conversion and volume change measured concurrently. However, the ability of these metrics to predict future conversion has not been investigated. We compared the abilities of hippocampal, TH, and global measures to predict future conversion from MCI to AD. TH, hippocampi, whole brain, and ventricles were measured using baseline and 12-month scans. Boundary shift integral was used to measure the rate of change. We investigated the prediction of conversion between 12 and 24 months in subjects classified as MCI from baseline to 12 months. All measures were predictive of future conversion. Local and global rates of change were similarly predictive of conversion. There was evidence that the TH expansion rate is more predictive than the hippocampal atrophy rate (P=0.023) and that the TH expansion rate is more predictive than the TH volume (P=0.036). Prodromal atrophy rates may be useful predictors of future conversion to sporadic AD from amnestic MCI

    Suburbanites\u27 Perceptions About Agriculture: The Challenge for Media

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    As urban dwellers become more isolated from the original sources of their food, their dependence on agriculture becomes less vivid

    Rayleigh-Taylor instability and mushroom-pattern formation in a two-component Bose-Einstein condensate

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    The Rayleigh-Taylor instability at the interface in an immiscible two-component Bose-Einstein condensate is investigated using the mean-field and Bogoliubov theories. Rayleigh-Taylor fingers are found to grow from the interface and mushroom patterns are formed. Quantized vortex rings and vortex lines are then generated around the mushrooms. The Rayleigh-Taylor instability and mushroom-pattern formation can be observed in a trapped system.Comment: 5 pages, 4 figure

    Kelvin Wave Cascade and Decay of Superfluid Turbulence

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    Kelvin waves (kelvons)--the distortion waves on vortex lines--play a key part in the relaxation of superfluid turbulence at low temperatures. We present a weak-turbulence theory of kelvons. We show that non-trivial kinetics arises only beyond the local-induction approximation and is governed by three-kelvon collisions; corresponding kinetic equation is derived. On the basis of the kinetic equation, we prove the existence of Kolmogorov cascade and find its spectrum. The qualitative analysis is corroborated by numeric study of the kinetic equation. The application of the results to the theory of superfluid turbulence is discussed.Comment: 4 pages, RevTe

    Recovering the stationary phase condition for accurately obtaining scattering and tunneling times

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    The stationary phase method is often employed for computing tunneling {\em phase} times of analytically-continuous {\em gaussian} or infinite-bandwidth step pulses which collide with a potential barrier. The indiscriminate utilization of this method without considering the barrier boundary effects leads to some misconceptions in the interpretation of the phase times. After reexamining the above barrier diffusion problem where we notice the wave packet collision necessarily leads to the possibility of multiple reflected and transmitted wave packets, we study the phase times for tunneling/reflecting particles in a framework where an idea of multiple wave packet decomposition is recovered. To partially overcome the analytical incongruities which rise up when tunneling phase time expressions are obtained, we present a theoretical exercise involving a symmetrical collision between two identical wave packets and a one dimensional squared potential barrier where the scattered wave packets can be recomposed by summing the amplitudes of simultaneously reflected and transmitted waves.Comment: 32 pages, 5 figures, 1 tabl

    Testing Convolutional Neural Networks for finding strong gravitational lenses in KiDS

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    Convolutional Neural Networks (ConvNets) are one of the most promising methods for identifying strong gravitational lens candidates in survey data. We present two ConvNet lens-finders which we have trained with a dataset composed of real galaxies from the Kilo Degree Survey (KiDS) and simulated lensed sources. One ConvNet is trained with single \textit{r}-band galaxy images, hence basing the classification mostly on the morphology. While the other ConvNet is trained on \textit{g-r-i} composite images, relying mostly on colours and morphology. We have tested the ConvNet lens-finders on a sample of 21789 Luminous Red Galaxies (LRGs) selected from KiDS and we have analyzed and compared the results with our previous ConvNet lens-finder on the same sample. The new lens-finders achieve a higher accuracy and completeness in identifying gravitational lens candidates, especially the single-band ConvNet. Our analysis indicates that this is mainly due to improved simulations of the lensed sources. In particular, the single-band ConvNet can select a sample of lens candidates with ∼40%\sim40\% purity, retrieving 3 out of 4 of the confirmed gravitational lenses in the LRG sample. With this particular setup and limited human intervention, it will be possible to retrieve, in future surveys such as Euclid, a sample of lenses exceeding in size the total number of currently known gravitational lenses.Comment: 16 pages, 10 figures. Accepted for publication in MNRA

    Perancangan Sistem Value Chain Terhadap Prospek Pengumpulan E-Waste Di Bank Sampah

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    Electronic waste (e-waste) has become environmental issue in Indonesia. Several tons of e-waste was generated each year. Available landfills will not be sufficient to accommodate e-waste that people produce. Waste bank become one of many solutions to overcome this problem. Implementation of pilot project in waste bank is needed to see the prospects of e-waste collection in waste bank. Thus, the goal of this research is to design a value chain system for e-waste collection prospect in waste bank and system simulation as the foundation for implementing a pilot project. Simulations on 2 scenarios had been done to determine profitability of e-waste collection's pilot project in waste bank. Based on simulation, it is known that there is profit generated from e-waste recycling process for 2 scenarios. Ranges of profit for 2 months are Rp. 7.963.879 - Rp. 40.447.047 for scenario 1 and Rp. 7.952.394 – 40.435.561 for scenario 2. If only PCB component that could be recycled, profit for 2 months still can be generated in the range Rp. 689.964 – Rp. 6.398.486 for scenario 1 and Rp. 678.478 – Rp. 6.387.000 for scenario 2. Thus, implementation of e-waste collection's pilot project in waste bank is profitable

    Stretching Instability of Helical Spring

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    We show that when a gradually increasing tensile force is applied to the ends of a helical spring with sufficiently large ratios of radius to pitch and twist to bending rigidity, the end-to-end distance undergoes a sequence of discontinuous stretching transitions. Subsequent decrease of the force leads to step-like contraction and hysteresis is observed. For finite helices, the number of these transitions increases with the number of helical turns but only one stretching and one contraction instability survive in the limit of an infinite helix. We calculate the critical line that separates the region of parameters in which the deformation is continuous from that in which stretching instabilities occur, and propose experimental tests of our predictions.Comment: 5 pages, 4 figure
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