Water Quality Sensing and Spatio-Temporal Monitoring Structure with Autocorrelation Kernel Methods.

Pollution on water resources is usually analyzed with monitoring campaigns, which consist of programmed sampling, measurement, and recording of the most representative water quality parameters. These campaign measurements yields a non-uniform spatio-temporal sampled data structure to characterize complex dynamics phenomena. In this work, we propose an enhanced statistical interpolation method to provide water quality managers with statistically interpolated representations of spatial-temporal dynamics. Specifically, our proposal makes efficient use of the a priori available information of the quality parameter measurements through Support Vector Regression (SVR) based on Mercer's kernels. The methods are benchmarked against previously proposed methods in three segments of the Machángara River and one segment of the San Pedro River in Ecuador, and their different dynamics are shown by statistically interpolated spatial-temporal maps. The best interpolation performance in terms of mean absolute error was the SVR with Mercer's kernel given by either the Mahalanobis spatial-temporal covariance matrix or by the bivariate estimated autocorrelation function. In particular, the autocorrelation kernel provides with significant improvement of the estimation quality, consistently for all the six water quality variables, which points out the relevance of including a priori knowledge of the problem.

Peptides conjugated to silver nanoparticles in biomedicine - a "value-added" phenomenon.

Nanotechnology is gaining impetus in the present century and particularly the use of nanoparticles (NPs), whose properties are significantly different from the larger matter. These have found wider and potential applications in the fields of medicine, energy, cosmetics, environment and biomedicine. Among the NPs, silver nanoparticles (AgNPs) are of particular interest for scientists and technologists due to their unique physico-chemical and biological properties. Besides, AgNPs by themselves also possess broad-spectrum microbial activity, which has further expanded their application in both academia and industries. On the other hand, research and drug discovery in the field of peptides is surging. Chemistry and biology of peptides have seen a renaissance in this century as many of the peptide-based therapeutics have entered the market and many more are in the different phases of clinical trials. To fuel this, peptides have also found numerous applications in nanotechnology. Taking advantage of these two scenarios, namely, AgNPs and peptides, conjugation of these entities have emerged as a powerful technique and have opened the doors for a new revolution. Keeping this motivation in mind, we here present a mini-review on the combined concept of AgNPs and peptides.