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111.
    
The surface of rubbed polyimide films was studied as a function of the film thickness and applied load using atomic force microscopy (AFM). Three dominant consequences of rubbing on the film topography were observed: scratches confined to the near surface of the film, tears that extended to the substrate, and strings of islands or droplets aligned parallel to the rubbing direction. Tears, found only in films less than 50 nm thick, varied in areal density and shape due to variations in the film thickness, rubbing load, and adhesion to the substrate. Strings of droplets aligned in the rubbing direction were seen on most samples without discernible dependence on the thickness or rubbing load. © 2001 John Wiley & Sons, Inc. J Appl Polym Sci 80: 1470–1477, 2001  相似文献   
112.
Robust alternative technology choices are required in the paradigm shift from the current crude oil-reliant transport fuel platform to a sustainable, more flexible transport infrastructure. In this vein, fast pyrolysis of biomass and upgrading of the product is deemed to have potential as a technology solution. The objective of this review is to provide an update on recent laboratory research and commercial developments in fast pyrolysis and upgrading techniques. Fast pyrolysis is a relatively mature technology and is on the verge of commercialisation. While upgrading of bio-oils is currently confined to laboratory and pilot scale, an increased understanding of upgrading processes has been achieved in recent times.  相似文献   
113.
Objective: This research tested the role of traditional rational-cognitive factors and emotional barriers to posthumous organ donation. An example of an emotional barrier is the “ick” factor, a basic disgust reaction to the idea of organ donation. We also tested the potential role of manipulating anticipated regret to increase intention to donate in people who are not yet registered organ donors. Design: In three experiments involving 621 members of the United Kingdom general public, participants were invited to complete questionnaire measures tapping potential emotional affective attitude barriers such as the “ick” factor, the desire to retain bodily integrity after death, and medical mistrust. Registered posthumous organ donors were compared with nondonors. In Experiments 2 and 3, nondonors were then allocated to a simple anticipated regret manipulation versus a control condition, and the impact on intention to donate was tested. Main Outcome Measures: Self-reported emotional barriers and intention to donate in the future. Results: Traditional rational-cognitive factors such as knowledge, attitude, and subjective norm failed to distinguish donors from nondonors. However, in all three experiments, nondonors scored significantly higher than donors on the emotional “ick” factor and bodily integrity scales. A simple anticipated regret manipulation led to a significant increase in intention to register as an organ donor in future. Conclusions: Negative affective attitudes are thus crucial barriers to people registering as organ donors. A simple anticipated regret manipulation has the potential to significantly increase organ donation rates. (PsycINFO Database Record (c) 2011 APA, all rights reserved)  相似文献   
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A polarisation-insensitive, near-travelling-wave semiconductor laser amplifier (TWSLA) is presented. Polarisation sensitivity of less than 1 dB is demonstrated. This may be the lowest reported polarisation sensitivity for a TWSLA. In addition, the saturated output power is in excess of 5.2 dBm.<>  相似文献   
116.
  总被引:3,自引:1,他引:2  
The vast majority of data mining algorithms require the setting of many input parameters. The dangers of working with parameter-laden algorithms are twofold. First, incorrect settings may cause an algorithm to fail in finding the true patterns. Second, a perhaps more insidious problem is that the algorithm may report spurious patterns that do not really exist, or greatly overestimate the significance of the reported patterns. This is especially likely when the user fails to understand the role of parameters in the data mining process. Data mining algorithms should have as few parameters as possible. A parameter-light algorithm would limit our ability to impose our prejudices, expectations, and presumptions on the problem at hand, and would let the data itself speak to us. In this work, we show that recent results in bioinformatics, learning, and computational theory hold great promise for a parameter-light data-mining paradigm. The results are strongly connected to Kolmogorov complexity theory. However, as a practical matter, they can be implemented using any off-the-shelf compression algorithm with the addition of just a dozen lines of code. We will show that this approach is competitive or superior to many of the state-of-the-art approaches in anomaly/interestingness detection, classification, and clustering with empirical tests on time series/DNA/text/XML/video datasets. As a further evidence of the advantages of our method, we will demonstrate its effectiveness to solve a real world classification problem in recommending printing services and products. Responsible editor: Johannes Gehrke  相似文献   
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As a partner in the EU co-funded 3D-ICONS project, the Discovery Programme has surveyed a wide range of the iconic cultural heritage sites in Ireland. This project aimed to establish a complete pipeline for the production of 3D replicas of archaeological monuments and historic buildings, and to publish the content to Europeana for public access. Challenges discussed include: making such high resolution data sets available to the public to enable online interaction and via the web, creating suitable and representative metadata and IPR frameworks for 3D cultural heritage data.  相似文献   
119.
  总被引:1,自引:1,他引:0  
The ubiquity of time series data across almost all human endeavors has produced a great interest in time series data mining in the last decade. While dozens of classification algorithms have been applied to time series, recent empirical evidence strongly suggests that simple nearest neighbor classification is exceptionally difficult to beat. The choice of distance measure used by the nearest neighbor algorithm is important, and depends on the invariances required by the domain. For example, motion capture data typically requires invariance to warping, and cardiology data requires invariance to the baseline (the mean value). Similarly, recent work suggests that for time series clustering, the choice of clustering algorithm is much less important than the choice of distance measure used.In this work we make a somewhat surprising claim. There is an invariance that the community seems to have missed, complexity invariance. Intuitively, the problem is that in many domains the different classes may have different complexities, and pairs of complex objects, even those which subjectively may seem very similar to the human eye, tend to be further apart under current distance measures than pairs of simple objects. This fact introduces errors in nearest neighbor classification, where some complex objects may be incorrectly assigned to a simpler class. Similarly, for clustering this effect can introduce errors by “suggesting” to the clustering algorithm that subjectively similar, but complex objects belong in a sparser and larger diameter cluster than is truly warranted.We introduce the first complexity-invariant distance measure for time series, and show that it generally produces significant improvements in classification and clustering accuracy. We further show that this improvement does not compromise efficiency, since we can lower bound the measure and use a modification of triangular inequality, thus making use of most existing indexing and data mining algorithms. We evaluate our ideas with the largest and most comprehensive set of time series mining experiments ever attempted in a single work, and show that complexity-invariant distance measures can produce improvements in classification and clustering in the vast majority of cases.  相似文献   
120.
FePtMn nanoparticles with a narrow size distribution and an average diameter of 3?nm were synthesized by the chemical reduction of Fe(acac)(3) and Pt(acac)(2) by NaBH(4) and the thermal decomposition of Mn(2)(CO)(10) in phenyl ether. The as-made nanoparticles have a disordered face-centred cubic (fcc) structure, which transformed after thermal treatment at 650?°C to an ordered face-centred tetragonal (fct) structure, possessing coercivity values up to 13.7?kOe at room temperature. The coercivity of the annealed samples depends on the amount of Mn added to the reaction mixture, with the coercive field increasing significantly with the partial substitution of Pt by Mn, while the partial substitution of Fe by Mn does not affect the magnetic properties strongly.  相似文献   
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