Building spectral libraries for wetlands land cover classification and hyperspectral remote sensing.

Recent advances in remote sensing provide opportunities to map plant species and vegetation within wetlands at management relevant scales and resolutions. Hyperspectral imagers, currently available on airborne platforms, provide increased spectral resolution over existing space-based sensors that can document detailed information on the distribution of vegetation community types, and sometimes species. Development of spectral libraries of wetland species is a key component needed to facilitate advanced analytical techniques to monitor wetlands. Canopy and leaf spectra at five sites in California, Texas, and Mississippi were sampled to create a common spectral library for mapping wetlands from remotely sensed data. An extensive library of spectra (n=1336) for coastal wetland communities, across a range of bioclimatic, edaphic, and disturbance conditions were measured. The wetland spectral libraries were used to classify and delineate vegetation at a separate location, the Pacheco Creek wetland in the Sacramento Delta, California, using a PROBE-1 airborne hyperspectral data set (5m pixel resolution, 128 bands). This study discusses sampling and collection methodologies for building libraries, and illustrates the potential of advanced sensors to map wetland composition. The importance of developing comprehensive wetland spectral libraries, across diverse ecosystems is highlighted. In tandem with improved analytical tools these libraries provide a physical basis for interpretation that is less subject to conditions of specific data sets. To facilitate a global approach to the application of hyperspectral imagers to mapping wetlands, we suggest that criteria for and compilation of wetland spectral libraries should proceed today in anticipation of the wider availability and eventual space-based deployment of advanced hyperspectral high spatial resolution sensors.

Methylated tin toxicity a reappraisal using rodents models.

Trimethyltin-induced intoxication has a great impact on human health due to the widespread occurrence of methyltin compounds. Acute TMT intoxication in humans leads to a variety of neurological symptoms which involve primarily the limbic system. In the present review we summarized the neuromorphological correlates of this neurological syndrome extending the analysis to various extra-limbic regions and detailing the fine ultrastructure of TMT-induced neuronal alterations. In order to comprehend the pathophysiology of TMT-induced neuronal damage we analysed the various experimental models of TMT-induced neurotoxicity. When comparing various animal species, it seems that the variety of neuropathological correlates are not related to species difference in the sensitivity to TMT toxicity but to a different susceptibility to secondary effects produced by TMT. In fact, apart from a primary neurotoxic damage induced by TMT at neuronal level, this compound promotes the onset of limbic and generalized seizures, which in turn add a secondary damage to that induced immediately by TMT. Thus, the different neuropathology observed in different animal species is produced mainly by a different sensitivity to epilepsy-induced brain damage.

Neoplasia and acquired renal cystic disease in patients undergoing chronic ambulatory peritoneal dialysis.

Acquired renal cystic disease (ARCD) was initially reported to occur exclusively with patients on chronic hemodialysis for end-stage renal disease. To date, no cases of ARCD have been well documented in patients with end-stage renal disease treated solely by peritoneal dialysis. We report the occurrence of ARCD with renal cell carcinoma and hemorrhagic cyst formation in 2 patients with end-stage renal disease treated only with chronic ambulatory peritoneal dialysis for three and one-half and three years, respectively, since the onset of their renal failure. Both patients were found to have ARCD and complex masses on follow-up ultrasound examination after previous normal examinations. The findings were confirmed by computerized tomography (CT) scan and both patients underwent radical nephrectomy.

Possible application of the optical tunnel effect to membrane biophysics.

The exploitation of the optical tunnel effect allows the detection of very small spatial variations. The theory of optical tunneling is extended to an absorbing medium and an experimental apparatus capable of detecting displacements down to 0.19 nm, with fluctuations equivalent to 0.10 nm, is described. Some possible applications to the measurement of electrically induced volume changes of biological membranes are discussed.

Effects of visual angle on perspective reversal for ambiguous patterns.

Reversal rates of an ambiguous figure (the Necker cube) were studied for different pattern sizes covering a range of visual angles theta from approximately 1 to 62 deg. A large number of reversals was obtained for each observer and each pattern in order to examine the statistical distributions of reversal times. A pronounced flattening of the statistical distributions (represented throughout by a gamma distribution) and a growth of the mean duration of each percept, with increasing pattern size was found. A plateau in the range of theta between 5 and 20-30 deg was observed. For larger values of theta two kinds of observers have been identified: for 'fast' observers the inversion rate is little affected by theta, whilst for 'slow' observers, the mean reversal time increases strongly with theta. A tentative model, based on three different contributions to the duration of the alternation process, is proposed: a constant term, independent of theta, and two terms dependent on theta--a retinal term, and a cortical one. The last term is interpreted as due to the spreading of excitation with the characteristic of a filling-in process.

Stochastic models and fluctuations in reversal time of ambiguous figures.

Five probability distributions for the description of temporal fluctuations in the perception of ambiguous figures were fitted to previously obtained experimental results and classified according to their efficiency in describing the data. The gamma, Wiener, and Capocelli-Riciardi distributions showed the highest efficiency, while the chi2 and Taylor-Aldridge distributions showed a very low effiency. Therefore the underlying process may be described either by a simple Poisson model or by a random-walk model. For the gamma distribution there was a strong correlation between the parameters, while for the Wiener distribution this correlation was lower.