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Titlebook: Soil Enzymes; Influence of Sugar I Naga Raju Maddela,Narasimha Golla,Rangaswamy Venga Book 2017 Springer International Publishing Switzerla

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Soil Cellulase,e abundantly available on the earth‘s surface in the form of wood, chips, rocks, and municipal waste. Cellulose is the most abundant polysaccharide in plant cell walls and represents a significant input to soils (Richards 1987). Cellulose hydrolysis into glucose is mainly achieved by the complex enz
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Maddela Naga Raju,Narasimha Golla,Rangaswamy Vengatampallie brain is an early sign of neurodegenerative diseases years before any clinical signs of the disease progression. Since the changes in SC-FC coupling may provide a potential putative biomarker that detects subtle brain network dysfunction more sensitively than does a single modality, tremendous eff
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Maddela Naga Raju,Narasimha Golla,Rangaswamy Vengatampalliimited by the lack of annotated data. One-shot segmentation based on learned transformations (OSSLT) has emerged as a powerful tool to overcome the limitations of insufficient training samples, which involves learning spatial and appearance transformations to perform data augmentation, and learning
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Maddela Naga Raju,Narasimha Golla,Rangaswamy Vengatampallis non-invasive CNV visualization with micrometerscale resolution, aiding precise extraction and analysis. Nevertheless, the irregular shape patterns, variable scales, and blurred lesion boundaries of CNVs present challenges for their precise segmentation in OCTA images. In this study, we propose a .
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Maddela Naga Raju,Narasimha Golla,Rangaswamy Vengatampalliing of the heart’s motion. However, current cardiac MRI-based reconstruction technology used in clinical settings is 2D with limited through-plane resolution, resulting in low-quality reconstructed cardiac volumes. To better reconstruct 3D cardiac volumes from sparse 2D image stacks, we propose a mo
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