There exists a spatial mismatch between socioeconomic data, such as Gross Domestic Product (GDP), and physical and environmental datasets. This study provides a dasymetric approach for GDP estimation at a fine scale by combining the Defense Meteorological Satellite Program Operational Linescan System (DMSP/OLS) nighttime imagery, enhanced vegetation index (EVI), and land cover data. Despite the...

The prosperity of a country, commonly measured in terms of its annual per capita Gross Domestic Product (GDP), has different relationships with population levels of body weight and happiness, as well as environmental impacts such as carbon emissions. The aim of this study was to examine these relationships and to try to find a level of GDP, which provides for sustainable economic activity, opti...

The role of GDP has heretofore been little studied in the analysis of visual receptor G-protein (G) interactions. Here we use kinetically resolved absorption and light scattering spectroscopy, centrifugation, porous membrane filtration, and enzyme assay to compare the effectiveness of GDP with that of GTP or gamma-thio-guanosine-5'-triphosphate in the modulation of G-protein binding to rod disc...

In the present study on the specific role of GDP in regulation of the hepatic glucagon-sensitive adenylate cyclase system, two approaches were employed to eliminate the influence of the conversion of GDP during incubation: One was a time study during only the initial period of incubation with ATP as substrate and the other was a study using adenyl-5’-yl imidodiphosphate, a nonphosphorylating an...

The levels of fucosylated glycoproteins in various cancers and inflammatory processes have been a subject of intense study. The level of fucosyltransferases and intracellular GDP-L-fucose, a sugar nucleotide and a common donor substrate for all fucosyltransferases, may regulate the level of fucosylated glycoproteins. This study reports on the determination of GDP-L-fucose levels in human hepato...

agriculture as one of the major economic sectors of iran, has an important role in gross domestic production by providing about 14% of gdp. this study attempts to forecast the value of the agriculture gdp using periodic autoregressive model (par), as the new seasonal time series techniques. to address this aim, the quarterly data were collected from march 1988 to july 1989. the collected data w...

in this paper, an adaptive-network-based fuzzy inference system (anfis) is used for forecasting of natural gas consumption. it is clear that natural gas consumption prediction for future, surly can help statesmen to decide more certain. there are many variables which effect on gas consumption but two variables that named gross domestic product (gdp) and population, are selected as two input var...

The role of glutamine dipeptide (GDP) to prevent against prolonged insulin induced hypoglycemia (IIH) in overnight fasted rats was investigated. The glycemia was measured 0, 2, 4, 8, and 10 h after an intraperitoneal (i.p.) injection (1 U/kg) of Detemir insulin. Because the lowest glycemia was obtained 4 h after insulin administration, the experiments were done at this time. The hypoglycemia ob...