Sentence examples for contaminated by multiple from inspiring English sources
The results demonstrate that a multi-isotope approach is a valuable tool for characterization of complex sites such as fractured bedrock aquifer contaminated by multiple sources, providing important information which can be used by consultants and site managers to prioritize and design more successful remediation strategies.
Drinking water may become contaminated by multiple routes, including ineffective treatment of source water affected by sewage discharges or through breeches in the distribution system that allow contaminated water to enter.
Many sources of drinking and irrigation water have been contaminated by multiple heavy metals, such as Cd and Pb, with advent of industrialization especially in developing countries like China [ 63].
A subset of meat and poultry samples (10%; 14/136) was contaminated by multiple unique S. aureus strains as determined by MLST and susceptibility profiles, and a total of 79 unique isolates were used in subsequent analyses.
It should be noted that beyond Δω = 3000 cm−1, the CARS spectrum might be contaminated by contributions from multiple Raman active vibrations of water.
However, SAR echoes are often contaminated by radio frequency interferences (RFI) from multiple broadcasting stations.
Statistical analyses done using MiDAS or RPI, calculated using intensity signals, at p-value ≤ 0.05 are contaminated by a significant number of FPs due to the multiple test problem.
However, it has not been well studied that how to jointly learn effective features with favorable discriminability from multiple spectra even when multi-spectral face images are severely contaminated by noise.
Although urban horticulture provides multiple benefits to society, the extent to which these vegetables are contaminated by the absorption of chemical elements derived from atmospheric deposition is unclear.
Our approach explicitly models the observation layer, which includes a heavy-tailed Student-t likelihood, and allows for a hierarchy of multiple transition layers to learn the system dynamics directly from estimation data contaminated by outliers.
Figure 10a,b,c,d shows a breast cyst image with imaging artifacts, a skin lesion image contaminated by texture tissue, a MR heart image with clutter noise and a cell image with multiple objects.
