jbas
Abstract : Impact of Logarithmic Transformation on the Restoration of Normality in Bioequivalence Data
|
|
|
Abstract: The Logarithmic Transformation is widely used to address the skewness and assumes the normality assumption of the bioequivalence data but this may not be true in all cases unless the underlying assumption is taken into account and verified that the randomly generated data is normally distributed in the BE studies. Instead of restoring the normality in the data, the Log-Transformation may introduce new problems like inducing skewness with an increase in variability, which are even more difficult to deal with, then the original problem of non-normal distribution of data. Pharmacokinetic parameters, derived from the real biodata of the bioequivalence study of Glimepiride 4mg tablet was statistically analyzed, with and without, Log-Transformation through ANOVA and the two were compared for normality assumption through the standard testing for normality like Shapiro-Wilk and Q-Q Plots. The comparison of the conclusive results from both approaches, linear and log-transformed data, does not conclude any significant difference. A further investigation is required to strengthen this notion and to identify the circumstances and situations where the deterministic parameters are ascertained to select a suitable model for the data analysis and conclusion. The alternative analytic methods that eliminate the need of transforming non-normal data distributions prior to analysis, like Wilcoxon-Mann-Whitney two one-sided test which has been recommended by Hauschke et al., Hodges-Lehmann estimator or the other newer analytic distribution-free methods, that are not dependent on the distribution of data like the generalized estimating equations (GEE) are recommended. Keywords: Bioequivalence, Log-transformation, Normality, Normal Distribution, Log-Normal Distribution, Skewness, Confidence Interval, Hypothesis testing, Outliers |
Abstract : Effect of Organic Manure and Mineral Fertilizers on Wheat Growth and Soil Properties
|
|
|
Abstract: Sustainable crop management relies on the combined use of organic and inorganic sources of nutrients. The experiment was laid out in a split plot design with manures (control, farmyard manure, sesbania and cluster bean) as main split and mineral fertilizer rates (control, 40-30, 60-45, 80-60, 90-70 and 120-90 kg N-P2O5 ha-1) as sub-split. The manures significantly influenced shoot dry weight, N, P and K uptake and soil properties. Conversely, the rates of mineral fertilizers did not have any effect on soil properties, however, significantly enhanced the shoot dry weight and N, P and K uptake. The combined use of manures and mineral fertilizers had a significant effect on shoot P uptake. Farmyard manure was the best manure amendment with 13% reduction in bulk density and 51% increase in organic matter content over control. Incorporation of farmyard manure increased the shoot dry weight and N, P and K uptake, respectively by 8, 14, 11 and 8% over control. Among rates of mineral fertilizers, recommended rate of mineral fertilizer (120-90 kg N-P2O5 ha-1) was the best treatment with corresponding increase of 26, 81, 56 and 55% in shoot dry weight, N, P and K uptake over control. Integration of farmyard manure with recommended rate of mineral fertilizer enhanced shoot P uptake by 17% as compared to solo application of mineral fertilizers. Through this study, it was concluded that farmyard manure at 6 tons ha-1 coupled with mineral fertilizer rate of 120-90 kg N-P2O5 ha-1 was the best source for sustainable soil health and wheat production. . Keywords: Cluster bean, farmyard manure, green manure, organic, sesbania, whea. |
Abstract : Abrupt Intensification and Dissipation of Tropical Cyclones in Indian Ocean: A Case Study of Tropical Cyclone Nilofar – 2014
|
|
|
Abstract: This study aims to investigate the possible influence of different atmospheric forcing on intensification/dissipation of tropical cyclonic “Nilofar” in Arabian Sea appeared during the last week of October, 2014 which exhibited abrupt intensification and dissipation as well. The cyclone was monitored by the Tropical Cyclone Warning Center (TCWC) of Pakistan Meteorological Department and the Regional Specialized Meteorological Center (RSMC) of Indian Meteorological Department (IMD) continuously, issued warnings and advisories with the help of available synoptic observations, satellite data and numerical models. Almost all the essential ingredients for intensification and tracking of the cyclone were studied and monitored accurately. Although the track forecast of the cyclone remained up to mark; but great errors occurred in intensity forecast. The atmospheric vertical wind shear could not be studied accurately. The intensity of wind shear itself is dependent on both; the local and global atmospheric forcing and climate variables, reoccurring periodically, especially while occurring two or more at the same time. More studies are required for influence of these climate variables while co-occurring at the same time period. This study will help weather forecasters to pay special attention on variation of climate factors affecting the wind shear for proper forecasting of tropical cyclones in the Arabian Sea for the safety of coastal communities along the coast. Keywords: Tropical cyclone, Nilofar, Climate variables, Co-occurring. |
Abstract : Geo Spatial Assessment of Flood Hazard in Jhang District, Pakistan
|
|
|
Abstract: Floods are one of the leading natural disasters in Pakistan. In recent decades the frequency and intensity of floods has increased due to human and environmental factors. In this work an attempt was made to examine the flood vulnerable areas of Jhang district and its impact on land cover changes by using remote sensing and GIS techniques. Image Analysis and different indices like NDVI, NDWI were applied on satellite images for identification of flood prone areas and vegetation conditions in study area. Flood prone areas were further classified into low, medium and high risk areas according to flood hazard. The results indicate that, Jhang covers total area of 6357 km2 out of which flood affected area is 530 km2. During the flood of 2010 water area expanded approximately 714 km2 while a decline was observed in agricultural lands which have lost139 km2 area under vegetation Keywords: Flood Hazard, Vegetation Cover, Image Analysis, NDVI, Jhang. |
