Soil lead (Pb) contamination in Pb paint-contaminated homes is a serious health risk urban areas. Phytoextraction green and sustainable technology for soil remediation, but its efficiency depends on the geochemical partitioning of soil. Following successful laboratory, greenhouse, panel experiments, field study was conducted to demonstrate effectiveness chemically catalyzed phytoextraction mode...

phytoremediation is an emerging green technology that uses plants and their associated microbes to remediate different environments contaminated with various pollutants. phytoremediation, as an effective soil remediation technology, has gained popularity in the past ten years both in developed and developing countries. the main goal of the current article is to improve the understanding of phyt...

One of the possibilities removing heavy metals (HMs) from soil is use phytoremediation techniques supported with biosolids, which also allow for their disposal. Therefore, objective research was determination sewage sludge suitability after its application to urban in order increase efficiency contaminated soil. A field experiment established on lawns Białystok (Poland) two locations different ...

In Multiple linear regression models, problems arise when serious multicollinearity or influential outliers are present in the data. Failure to include significant quadratic or cross-product terms result in model specification error. Simple scatter plots are most of the time not effective in revealing the complex relationships of predictor variables or data problems in multiple linear regressio...

Dot plots are a standard method for local comparison of biological sequences. In a dot plot, a substring to substring distance is computed for all pairs of fixed-size windows in the input strings. Commonly, the Hamming distance is used since it can be computed in linear time. However, the Hamming distance is a rather crude measure of string similarity, and using an alignment-based edit distance...

We propose an extension of the recurrence plot concept to perform quantitative analyzes of roughness and disorder of spatial patterns at a fixed time. We introduce spatial recurrence plots (SRPs) as a graphical representation of the pointwise correlation matrix, in terms of a two-dimensional spatial return plot. This technique is applied to the study of complex patterns generated by coupled map...