Variational Information Bottleneck for Unsupervised Clustering: Deep Gaussian Mixture Embedding.

In this paper, we develop an unsupervised generative clustering framework that combines the variational information bottleneck and the Gaussian mixture model. Specifically, in our approach, we use the variational information bottleneck method and model the latent space as a mixture of Gaussians. We derive a bound on the cost function of our model that generalizes the Evidence Lower Bound (ELBO) and provide a variational inference type algorithm that allows computing it.

Status of microbial based cleaning products in statutory regulations and ecolabelling in Europe, the USA, and Canada.

Cleaning products containing living microorganisms as active ingredients are increasingly being used in household, professional and industrial cleaning applications. Microorganisms can degrade soiling associated with dirt, food residues, and grease by enzymatic and metabolic action and out-compete microorganisms associated with odor problems. Their potential for odor control seems to result in a competitive advantage over conventional chemically-based cleaning products.

Development and use of microbial-based cleaning products (MBCPs): Current issues and knowledge gaps.

Cleaning products containing microbes as active ingredients are becoming increasingly prevalent as an alternative to chemical-based cleaning products. These microbial-based cleaning products (MBCPs) are being used in domestic and commercial settings (i.e.

Review of current methods for characterizing virulence and pathogenicity potential of industrial Saccharomyces cerevisiae strains towards humans.

Most industrial Saccharomyces cerevisiae strains used in food or biotechnology processes are benign. However, reports of S. cerevisiae infections have emerged and novel strains continue to be developed.