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Geospatial technology is adopted in India through ‘Digital India’, for better governance and socio-economic benefits of common citizens. Remote sensing imageries and derived products are a direct inpu...
The ecology, species distribution, and population structure of Armillaria was investigated in the forests of Massachusetts. From 64 plots at 16 sites, 640 isolates of Armillaria were collected from si...
Palaeocene-Eocene carbonates of shallow marine sequence belonging to Shella Formation of Jaintia Group are well developed in the south of the Jaintia Hills, Meghalaya and represent an excellent outcro...
A field survey was carried out soon after the Fukushima Dai-ichi Nuclear Power Plant accident. Gamma-ray emitting radionuclides and plutonium isotopes in a series of soil samples collected from the h...
Soils are unconsolidated materials that are result of weathering and erosion process of rocks. When water content of some soils change, it makes problems to civil activities. These problems include sw...
The objective is to present a reservoir management system which is capable of determining optimal operating rules both for flood event based and normal operation while at the same time attempting to a...
Improving hydrocarbon recovery holds the key to prolong and maximize production from existing oil and gas fields. The economic potential of providing new methods for increased and enhanced oil recove...
The objective is to present a reservoir management system which is capable of determining optimal operating rules both for flood event based and normal operation while at the same time attempting to a...
Comparative sequencing of the chloroplast matK coding and non-coding regions was used to examine relationship among the species of Amaranthaceae with emphasis on the West African species and other clo...
The recent bryophyte flora of South-West Asia is heterogeneous and consists of 6 floral elements [(Sub)cosmopolitan taxa, northern taxa, xerotherm-Pangaean taxa, circum-Tethyan taxa, tropical taxa, an...
Artificial Neural Networks (ANN) are efficient tools to derive solar UV radiation from measured meteorological parameters such as global radiation, aerosol optical depths and atmospheric column ozone....
A set of coupled ocean-atmosphere(-vegetation) simulations using state of the art climate models is now available for the Last Glacial Maximum (LGM) and the Mid-Holocene (MH) through the second phase ...

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