Perceiving edge blur: Gaussian-derivative filtering and a rectifying nonlinearity

We studied the visual mechanisms that encode edge blur in images. Our previous work suggested that the visual system spatially differentiates the luminance profile twice to create the `signature' of the edge, and then evaluates the spatial scale of this signature profile by applying Gaussian derivative templates of different sizes. The scale of the best-fitting template indicates the blur of the edge. In blur-matching experiments, a staircase procedure was used to adjust the blur of a comparison edge (40% contrast, 0.3 s duration) until it appeared to match the blur of test edges at different contrasts (5% - 40%) and blurs (6 - 32 min of arc). Results showed that lower-contrast edges looked progressively sharper. We also added a linear luminance gradient to blurred test edges. When the added gradient was of opposite polarity to the edge gradient, it made the edge look progressively sharper. Both effects can be explained quantitatively by the action of a half-wave rectifying nonlinearity that sits between the first and second (linear) differentiating stages. This rectifier was introduced to account for a range of other effects on perceived blur (Barbieri-Hesse and Georgeson, 2002 Perception 31 Supplement, 54), but it readily predicts the influence of the negative ramp. The effect of contrast arises because the rectifier has a threshold: it not only suppresses negative values but also small positive values. At low contrasts, more of the gradient profile falls below threshold and its effective spatial scale shrinks in size, leading to perceived sharpening.

Perceiving edge blur: linear filtering and a rectifying nonlinearity

We studied the visual mechanisms that encode edge blur in images. Our previous work suggested that the visual system spatially differentiates the luminance profile twice to create the 'signature' of the edge, and then evaluates the spatial scale of this signature profile by applying Gaussian derivative templates of different sizes. The scale of the best-fitting template indicates the blur of the edge. In blur-matching experiments, a staircase procedure was used to adjust the blur of a comparison edge (40% contrast, 0.3 s duration) until it appeared to match the blur of test edges at different contrasts (5% - 40%) and blurs (6 - 32 min of arc). Results showed that lower-contrast edges looked progressively sharper.We also added a linear luminance gradient to blurred test edges. When the added gradient was of opposite polarity to the edge gradient, it made the edge look progressively sharper. Both effects can be explained quantitatively by the action of a half-wave rectifying nonlinearity that sits between the first and second (linear) differentiating stages. This rectifier was introduced to account for a range of other effects on perceived blur (Barbieri-Hesse and Georgeson, 2002 Perception 31 Supplement, 54), but it readily predicts the influence of the negative ramp. The effect of contrast arises because the rectifier has a threshold: it not only suppresses negative values but also small positive values. At low contrasts, more of the gradient profile falls below threshold and its effective spatial scale shrinks in size, leading to perceived sharpening.

Seeing edge blur: receptive fields as multiscale neural templates

Edge blur is an important perceptual cue, but how does the visual system encode the degree of blur at edges? Blur could be measured by the width of the luminance gradient profile, peak ^ trough separation in the 2nd derivative profile, or the ratio of 1st-to-3rd derivative magnitudes. In template models, the system would store a set of templates of different sizes and find which one best fits the `signature' of the edge. The signature could be the luminance profile itself, or one of its spatial derivatives. I tested these possibilities in blur-matching experiments. In a 2AFC staircase procedure, observers adjusted the blur of Gaussian edges (30% contrast) to match the perceived blur of various non-Gaussian test edges. In experiment 1, test stimuli were mixtures of 2 Gaussian edges (eg 10 and 30 min of arc blur) at the same location, while in experiment 2, test stimuli were formed from a blurred edge sharpened to different extents by a compressive transformation. Predictions of the various models were tested against the blur-matching data, but only one model was strongly supported. This was the template model, in which the input signature is the 2nd derivative of the luminance profile, and the templates are applied to this signature at the zero-crossings. The templates are Gaussian derivative receptive fields that covary in width and length to form a self-similar set (ie same shape, different sizes). This naturally predicts that shorter edges should look sharper. As edge length gets shorter, responses of longer templates drop more than shorter ones, and so the response distribution shifts towards shorter (smaller) templates, signalling a sharper edge. The data confirmed this, including the scale-invariance implied by self-similarity, and a good fit was obtained from templates with a length-to-width ratio of about 1. The simultaneous analysis of edge blur and edge location may offer a new solution to the multiscale problem in edge detection.

Cationic liposomes as adjuvants for subunit protein vaccines:their role in the depot effect and antigen processing by APCs

Introduction: The requirement of adjuvants in subunit protein vaccination is well known yet their mechanisms of action remain elusive. Of the numerous mechanisms suggested, cationic liposomes appear to fulfil at least three: the antigen depot effect, the delivery of antigen to antigen presenting cells (APCs) and finally the danger signal. We have investigated the role of antigen depot effect with the use of dual radiolabelling whereby adjuvant and antigen presence in tissues can be quantified. In our studies a range of cationic liposomes and different antigens were studied to determine the importance of physical properties such as liposome surface charge, antigen association and inherent lipid immunogenicity. More recently we have investigated the role of liposome size with the cationic liposome formulation DDA:TDB, composed of the cationic lipid dimethyldioctadecylammonium (DDA) and the synthetic mycobacterial glycolipid trehalose 6,6’-dibehenate (TDB). Vesicle size is a frequently investigated parameter which is known to result in different routes of endocytosis. It has been postulated that targeting different routes leads to different intracellular signaling pathway activation and it is certainly true that numerous studies have shown vesicle size to have an effect on the resulting immune responses (e.g. Th1 vs. Th2). Aim: To determine the effect of cationic liposome size on the biodistribution of adjuvant and antigen, the ensuing humoral and cell-mediated immune responses and the uptake and activation of antigen by APCs including macrophages and dendritic cells. Methods: DDA:TDB liposomes were made to three different sizes (~ 0.2, 0.5 and 2 µm) followed by the addition of tuberculosis antigen Ag85B-ESAT-6 therefore resulting in surface adsorption. Liposome formulations were injected into Balb/c or C57Bl/6 mice via the intramuscular route. The biodistribution of the liposome formulations was followed using dual radiolabelling. Tissues including muscle from the site of injection and local draining lymph nodes were removed and liposome and antigen presence quantified. Mice were also immunized with the different vaccine formulations and cytokine production (from Ag85B-ESAT-6 restimulated splenocytes) and antibody presence in blood assayed. Furthermore, splenocyte proliferation after restimulating with Ag85B-ESAT-6 was measured. Finally, APCs were compared for their ability to endocytose vaccine formulations and the effect this had on the maturation status of the cell populations was compared. Flow cytometry and fluorescence labelling was used to investigate maturation marker up-regulation and efficacy of phagocytosis. Results: Our results show that for an efficient Ag85B-ESAT-6 antigen depot at the injection site, liposomes composed of DDA and TDB are required. There is no significant change in the presence of liposome or antigen at 6hrs or 24hrs p.i, nor does liposome size have an effect. Approximately 0.05% of the injected liposome dose is detected in the local draining lymph node 24hrs p.i however protein presence is low (<0.005% dose). Preliminary in vitro data shows liposome and antigen endocytosis by macrophages; further studies on this will be presented in addition to the results of the immunisation study.

Mechanisms of secondary dispersions separation in particulate beds

The mechanisms by which drops of secondary liquid dispersion ie. <100μ m, are collected, coalesced and transferred have been studied in particulate beds of different sizes and heights of glass ballotini. The apparatus facilitated different coalescer cell arrangements. The liquid-liquid system was toluene/de-ionised water. The inlet drop size distribution was measured by microscopy and using the Malvern Particle Size analyser; the outlet dispersion was sized by photography. The effect of packed height and packing size upon critical velocity, pressure drop and coalescence efficiency have been investigated. Single and two phase flow pressure drops across the packing were correlated by modified Blake-Kozeny equations. Two phase pressure drop was correlated by two equations, one for large ballotini sizes (267μm - 367μm), the other for small ballotini sizes (93μm- 147.5μm). The packings were efficient coalescers up to critical velocities of 3 x 10-2 m/s to 5 x 10-2 m/s. The saturation was measured across the bed using relative permeability and a mathematical model developed which related this profile to measured pressure drops. Filter coefficients for the range of packing studied were found to be accurately predicted from a modified queueing drop model. 

Some clarifications on the DEA clustering approach

This paper clarifies the role of alternative optimal solutions in the clustering of multidimensional observations using data envelopment analysis (DEA). The paper shows that alternative optimal solutions corresponding to several units produce different groups with different sizes and different decision making units (DMUs) at each class. This implies that a specific DMU may be grouped into different clusters when the corresponding DEA model has multiple optimal solutions. © 2011 Elsevier B.V. All rights reserved.

Molecular dynamics simulations of the adsorption and diffusion behavior of pure and mixed alkanes in silicalite

The adsorption and diffusion of mixed hydrocarbon components in silicalite have been studied using molecular dynamic simulation methods. We have investigated the effect of molecular loadings and temperature on the diffusional behavior of both pure and mixed alkane components. For binary mixtures with components of similar sizes, molecular diffusional behavior in the channels was noticed to be reversed as loading is increased. This behavior was noticeably absent for components of different sizes in the mixture. Methane molecules in the methane/propane mixture have the highest diffusion coefficients across the entire loading range. Binary mixtures containing ethane molecules prove more difficult to separate compared to other binary components. In the ternary mixture, however, ethane molecules diffuse much faster at 400 K in the channel with a tendency to separate out quickly from other components. © 2005 Elsevier Inc. All rights reserved.

Technological capability development in China's energy service company industry

Technological capability (TC) plays a strategic role in the competitive advantage of not only individual corporate entities but also entire industries. This paper investigates the crucial factors that affect technological capability development by Energy Service Companies (ESCOs) in China. It identifies how differently sized ESCOs make progress in developing TCs. Through looking at the successes achieved by developed countries in the field of energy conservation, ESCOs are able to improve energy efficiency and reduce emissions and are deemed to provide an effective means of conserving energy in China. Existing literature indicates that limited TC levels of are one of the crucial barriers facing Chinese ESCOs. Through investigating three different sizes of Chinese ESCO - small, medium-sized and large - this paper provides a framework to present the idea that Chinese ESCOs' TC development is affected by four key internal and external capabilities: management capability, investment capability, innovation capability and linkage capability. Through comparative analysis, the paper establishes that small and medium-sized private ESCOs are mainly affected by investment and linkage capabilities. Large state-owned ESCOs are mainly affected by innovation and management capability. In addition, all three types of ESCO exhibit a strong desire to develop their technological capability, but small and medium-sized ESCOs exhibit a stronger desire to conduct research and development (R&D) than large ESCOs, whilst large ESCOs prefer to increase their technical reserves through acquisition. This paper identifies factors that affect Chinese ESCOs' TC, but it does intend to address the problem of how to reduce the negative effects of limited TC or the question of how to improve the TC development of Chinese ESCOs effectively. This paper contributes to the field of TC development in the ESCO industry.

A survey of UK selection practices across different organization sizes and industry sectors

This paper presents results of a study examining the methods used to select employees in 579 UK organizations representing a range of different organization sizes and industry sectors. Overall, a smaller proportion of organizations in this sample reported using formalized methods (e.g., assessment centres) than informal methods (e.g., unstructured interviews). The curriculum vitae (CVs) was the most commonly used selection method, followed by the traditional triad of application form, interviews, and references. Findings also indicated that the use of different selection methods was similar in both large organizations and small-to-medium-sized enterprises. Differences were found across industry sector with public and voluntary sectors being more likely to use formalized techniques (e.g., application forms rather than CVs and structured rather than unstructured interviews). The results are discussed in relation to their implications, both in terms of practice and future research.