No abstract

An important approach for unsupervised landcover classification in remote sensing images is the clustering of pixels in the spectral domain into several fuzzy partitions. In this paper, a multiobjective optimization algorithm is utilized to tackle the problem of fuzzy partitioning where a number of fuzzy cluster validity indexes are simultaneously optimized. The resultant set of near-Pareto-optimal solutions contains a number of nondominated solutions, which the user can judge relatively and pick up the most promising one according to the problem requirements. Real-coded encoding of the cluster centers is used for this purpose.Results demonstrating the effectiveness of the proposed technique are provided for numeric remote sensing data described in terms of feature vectors. Different landcover regions in remote sensing imagery have also been classified using the proposed technique to establish its efficiency.Index Terms-Cluster validity measures, fuzzy clustering, genetic algorithm (GA), multiobjective optimization (MOO), Pareto-optimal, pixel classification, remote sensing imagery.

Alzheimer's disease (AD) is the most prevalent form of dementia, and its effective disease modifying therapies are desperately needed. Promotion of non-amyloidogenic alpha-secretase cleavage of amyloid precursor protein (APP) to release soluble sAPPalpha, based on the most widely accepted "amyloid model" as a plausible mechanism for AD treatment, is the focus of this review. Modulation of alpha-secretase or "a disintegrin and metalloprotease (ADAM)"s activity via protein kinase C (PKC), calcium ion (Ca(2+)), tyrosine kinase (TK), MAP kinase (MAPK), and hormonal signaling, which regulate catabolic processing of APP, are discussed. The inhibition of amyloidogenic processing of APP by the beta- and gamma-secretase has been considered till now a promising strategy to treat AD. But beta- and gamma-secretase inhibitors, along with the available therapeutic tools for AD, have side effects. These challenges can be circumvented to certain extent; but activation of sAPPalpha release appears to be a potential alternative strategy to reduce cerebral amyloidosis. Drug screens have been performed to identify therapeutics for AD, but an effective screening strategy to isolate activators of alpha-secretase has been rarely reported. Novel reporter-based screens targeted toward APP mRNA 5' untranslated region (UTR), followed by counter-screens to detect alpha-secretase stimulators, could be important in detecting compounds to promote sAPPalpha release and reduce amyloid beta (Abeta) buildup. The primary inflammatory cytokine interleukin-1, which stimulates APP 5'UTR-directed translation of cell-associated APP, enhances processing to sAPPalpha in astrocytes and co-activates ADAM-10/ADAM-17 through MAPK signaling; thus illustrating a novel pathway that could serve as therapeutic model for AD.

Neurotoxicity of individual metals is well investigated but that of metal mixture (MM), an environmental reality, in the developing brain is relatively obscure. We investigated the combinatorial effect of arsenic (As), cadmium (Cd), and lead (Pb) on rat brain development, spanning in utero to postnatal development. MM was administered by gavage to pregnant and lactating rats, and to postweaning pups till 2 months. The pups exhibited behavioral disturbances characterized by hyperlocomotion, increased grip strength, and learning-memory deficit. Disruption of the blood-brain barrier (BBB) was associated with dose-dependent increase in deposition of the metals in developing brain. Astrocytes were affected by MM treatment as evident from their reduced density, area, perimeter, compactness, and number of processes, and increased apoptosis in cerebral cortex and cerebellum. The metals induced synergistic reduction in glial fibrillary acidic protein (GFAP) expression during brain development; however, postweaning withdrawal of MM partially restored the levels of GFAP in adults. To characterize the toxic mechanism, we treated rat primary astrocytes with MM at concentrations ranging from lethal concentration (LC)(10) to LC(75) of the metals. We observed synergistic downregulation in viability and increase in apoptosis of the astrocytes, which were induced by proximal activation of extra cellular signal-regulated kinase (ERK) signaling and downstream activation of Jun N-terminal kinase (JNK) pathway. Furthermore, rise in intracellular calcium ion ([Ca(2+)](i)) and reactive oxygen species generation promoted apoptosis in the astrocytes. Taken together, these observations are the first to show that mixture of As, Cd, and Pb has the capacity to induce synergistic toxicity in astrocytes that may compromise the BBB and may cause behavioral dysfunction in developing rats.