Multiresolution MAP despeckling of SAR images based on locally adaptive generalized Gaussian pdf modeling.

In this paper, a new despeckling method based on undecimated wavelet decomposition and maximum a posteriori MIAP) estimation is proposed. Such a method relies on the assumption that the probability density function (pdf) of each wavelet coefficient is generalized Gaussian (GG). The major novelty of the proposed approach is that the parameters of the GG pdf are taken to be space-varying within each wavelet frame. Thus, they may be adjusted to spatial image context, not only to scale and orientation. Since the MAP equation to be solved is a function of the parameters of the assumed pdf model, the variance and shape factor of the GG function are derived from the theoretical moments, which depend on the moments and joint moments of the observed noisy signal and on the statistics of speckle. The solution of the MAP equation yields the MAP estimate of the wavelet coefficients of the noise-free image. The restored SAR image is synthesized from such coefficients. Experimental results, carried out on both synthetic speckled images and true SAR images, demonstrate that MAP filtering can be successfully applied to SAR images represented in the shift-invariant wavelet domain, without resorting to a logarithmic transformation.     

Undecylenic acid: A valuable renewable building block on route to Tyromycin A derivatives

A key intermediate for the synthesis of Tyromycin A, a C‐20 tetrachlorodicarboxylic acid, was produced in six steps starting with the dimerization of methyl 10‐undecenoate which was obtained from a renewable resource, e.g. castor oil. The acyloin condensation product was then oxidized, transformed to the diene, followed by ozonization, chlorination and finally oxidation to the corresponding tetrachlorodicarboxylic acid.     

Ichthyoplankton Assemblages of Coastal West-Central Lake Erie and Associated Habitat Characteristics

Early life stage survival often determines fish cohort strength and that survival is affected by habitat conditions. The structure and dynamics of ichthyoplankton assemblages can tell us much about biodiversity and fish population dynamics, but are poorly understood in nearshore areas of the Great Lakes, where most spawning and nursery habitats exist. Ichthyoplankton samples were collected with a neuston net in waters 2–13 m deep weekly or biweekly from mid-April through August, during 3 years (2000–2002) as part of a study of fish assemblages in west-central Lake Erie. A suite of abiotic variables was simultaneously measured to characterize habitat. Cluster and ordination analyses revealed several distinct ichthyoplankton assemblages that changed seasonally. A lake whitefish (Coregonus clupeaformis) dominated assemblage appeared first in April. In May, assemblages were dominated by several percid species. Summer assemblages were overwhelmingly dominated by emerald shiner (Notropis atherinoides), with large gizzard shad (Dorosoma cepedianum) and alewife (Alosa pseudoharengus) components. This seasonal trend in species assemblages was also associated with increasing temperature and water clarity. Water depth and drift processes may also play a role in structuring these assemblages. The most common and widely distributed assemblages were not associated with substratum type, which we characterized as either hard or soft. The timing of hatch and larval growth separated the major groups in time and may have adaptive significance for the members of each major assemblage. The quality and locations (with reference to lake circulation) of spawning and nursery grounds may determine larval success and affect year class strength.     

Metal Binding Properties of Fluorescent Analogues of Trichogin GA IV: A Conformational Study by Time‐Resolved Spectroscopy and Molecular Mechanics Investigations

The metal ion binding properties of two fluorescent analogues of trichogin GA IV, which is a natural undecapeptide showing significant antimicrobial activity, were studied by circular dichroism, time‐resolved optical spectroscopy, and molecular mechanics calculations. Binding of Ca^II and Gd^III to the peptides investigated was shown to promote a structural transition from highly helical conformations to folded structures characterized by formation of a loop that embedded the metal ion. Time‐resolved spectroscopy revealed that peptide dynamics is also remarkably affected by ion binding: peptide‐backbone motions slowed down to the microsecond time scale. Finally, molecular mechanics calculations emphasized the role of the central Gly5‐Gly6 motif, which allowed for the twisting of the peptide segment that gave rise to the formation of the binding cavity.     

A model to design and optimize multi-energy systems in buildings at the design concept stage

Increasing interest is currently being addressed to multi-energy systems in buildings. These systems integrate different energy sources, at least one of which is renewable, in order to cover the thermal and electrical loads of a building. Since the design and operation of such systems are very complicated for many reasons (e.g. the intermittent nature of the renewable sources, the highly interlinked system layouts), it is of the foremost importance to provide tools to help select the best system configuration and energy sources mix.A modelling approach to multi-energy systems in buildings, based on the energy hub concept is presented in this work. This approach allows the coupling between the energy demand and the energy supply in a building to be modelled in a synthetic way. The model was customised to be used at the concept stage of the building design, either as a system simulation tool or as a system selection tool. If the prices and the characteristics of the energy converters and of the energy-wares are known, it is possible, with a certain set of constraints, to determine the configuration that minimises the initial investment costs, the use of non-renewable sources or the life-cycle costs. This approach makes it possible to avoid the simulation and ranking of a set of different system configurations, and also permits the study of the behaviour of such systems in an open configuration and not as individual systems. An application of the methodology to a case study is provided.     

R-U-Typing-2-Me? Evolving a chat tool to increase understanding in learning activities

Very often, when using a chat tool where more than one participant is talking simultaneously, it is difficult to follow the conversation, read all the different messages and work out who is talking to whom about what. This problem has been dubbed “Chat Confusion.” This article investigates this problem in debate sessions in an online university course. Chat Confusion has been singled out as the main limitation to using chat in educational activities. Confusion needs to be reduced for understanding to increase, making it easier to track what is being discussed during a learning activity. This study investigated the phenomena responsible for causing this confusion. A version of the Mediated Chat tool was developed for each problem identified and was subsequently tested in online courses. This article describes the Mediated Chat development process, the problems identified, and the results obtained from the case studies.     

Plastic shaping by means of IR heating and direct pellet molding

Plastic shaping was performed by means of the combination of IR heating and pellet softening in a semitransparent open mold. Three commercial thermoplastic materials were employed (acrylonitrile‐butadiene‐styrene, polyethylene, and polypropylene) and process curves were extracted depending on IR lamp power and interaction time. A simple exponential model was defined for the prediction of molded sample thickness and a master curve was built for all the materials. A scale factor was introduced depending on the IR lamp power and not on the material. Besides, the density of molded sample was monitored, obtaining in such conditions density values comparable to typical injection molded ones, even if a very low load was applied during pellet molding (10 N). POLYM. ENG. SCI., 46:896–903, 2006. © 2006 Society of Plastics Engineers     

Advanced Ellipsometric Characterization of Conjugated Polymer Films

Conjugated polymers are attracting worldwide attention due to their potential for use as the active layer in advanced electronic, optoelectronic, and energy harvesting applications, and their cost‐effective and low thermal budget processing traits. As the technologies based on these materials develop, new and more sensitive characterization techniques are needed. Recent progress on the use of spectroscopic ellipsometry as a highly sensitive and non‐invasive method to obtain fundamental information about conjugated polymer films is reviewed. After a brief introduction to the practical details of the technique, the use of ellipsometry to determine optical parameters that provide insight into film morphology is described, including physical phase and molecular orientation, and resulting electronic structure. The characterization of layered systems and the use of in‐situ ellipsometry as a means to gain understanding of the kinetics that occur during film deposition and post‐deposition thermal and solvent vapor treatment is also discussed.