This study analysed PCB-contaminated natural soil excavated from an area adjacent to an electrical transformer station in Zadar, Croatia. For one year, PCB concentrations were measured in the soil and leachate water under natural climatic conditions. After 12 months, a negligible quantity of Aroclor 1248 (0.024% in average) and a total of seven key PCB congeners (IUPAC No: PCB-28, PCB-52, PCB-1...

For hierarchical clustering, dendrograms provide convenient and powerful visualization. Although many visualization methods have been suggested for partitional clustering, their usefulness deteriorates quickly with increasing dimensionality of the data and/or they fail to represent structure between and within clusters simultaneously. In this paper we extend (dissimilarity) matrix shading with ...

This study aims to investigate the quality and vulnerability of surface water (Aries River catchment) in order identify impact past mining activities. For this purpose, pollution indices, Piper Durov plots, as well modeling maps were used. The obtained results indicate that samples contaminated with As, Fe, Mn, Pb have relatively high concentrations SO42−, HCO3−, TDS, Ca, K, Mg values for elect...

background: to determine the efficacy of different antiseptic solutions (control group (i), antibiotic solution (ii), chlorhexidine 0.4% (iii), and povidone – iodine 10% (iv)) in sterilizing contaminated osteochondral plugs. methods: under sterile conditions, the femoral head and condyles of 20 rabbits were removed and cut into equal osteochondral pieces. a total of 200 osteochondral specimens ...

In tropical montane South-East Asia, recent changes in land use have induced increased runoff, soil erosion and in-stream suspended sediment loads. Land change is also contributing to microbial pathogen dissemination contamination of stream waters. Escherichia coli (E. coli) frequently used as an indicator faecal contamination. Field rain simulations were conducted examine how E. exported from ...

Longitudinal repeated-measures data have often been visualized with spaghetti plots for continuous outcomes. For large datasets, the use of spaghetti plots often leads to the over-plotting and consequential obscuring of trends in the data. This obscuring of trends is primarily due to overlapping of trajectories. Here, we suggest a framework called lasagna plotting that constrains the subject-sp...