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This study explores the validation of the Environmental Kuznets Curve (EKC) hypothesis for Pakistan using time series data from 1980 2013 with deforestation as an indicator (dependent variable) for environmental degradation, and four independent variables (economic growth, energy consumption, trade openness, and population) were also examined.

Characteristics regarding the study design and population were also abstracted.

For seed number the model with area and population was also the best (AIC 699.66; BIC 719.61).

All individuals and populations were also subject to genetic clustering analysis using the non-admixing model in structure (Pritchard et al. 2000).

A test of deviation from HWE across all loci and populations was also significant.

The other combinatorial paths, interrelationships, predicted probabilities and populations are also illustrated in Figure  1.

Data related to intervention specifics (dose, duration etc) and study population were also abstracted.

Substantial differences between our sample and the general population were also found for problems related to usual activities.

The evolutionary history and population dynamics of the Shanghai population were also inferred and compared with that observed in a fluoroquinolone sensitive gonococcal population from Baltimore.

Genotypes for each population were also retrieved and analysed to evaluate the linkage disequilibrium between variants.

The age and sex standardized estimates using the regional population and world population are also presented (Table  1).