Amoebozoan testate amoebae illuminate the diversity of heterotrophs and the complexity of ecosystems throughout geological time.

Heterotrophic protists are vital in Earth's ecosystems, influencing carbon and nutrient cycles and occupying key positions in food webs as microbial predators. Fossils and molecular data suggest the emergence of predatory microeukaryotes and the transition to a eukaryote-rich marine environment by 800 million years ago (Ma). Neoproterozoic vase-shaped microfossils (VSMs) linked to Arcellinida testate amoebae represent the oldest evidence of heterotrophic microeukaryotes.

How prepared are newly qualified allied health professionals for practice in the UK? A systematic review.

Objectives: It is important that allied health professionals (AHPs) are prepared for clinical practice from the very start of their working lives to provide quality care for patients, for their personal well-being and for retention of the workforce. The aim of this study was to understand how well newly qualified AHPs were prepared for practice in the UK.

Design: Systematic review.

High above the rest: standing behaviors in the amoebae of Sappinia and Thecamoeba.

Many terrestrial microbes have evolved cell behaviors that help them rise above their substrate, often to facilitate dispersal. One example of these behaviors is found in the amoebae of Sappinia pedata, which actively lift most of their cell mass above the substrate, known as standing. This standing behavior was first described in S.

Molecular phylogenetic analyses support the validity of Ceratiomyxa porioides (Amoebozoa, Eumycetozoa) at species level.

The frequently encountered macroscopic slime molds of the genus Ceratiomyxa have long been recognized by mycologists and protistologists for hundreds of years. These organisms are amoebozoan amoebae that live and grow inside and on the surface of decaying wood. When conditions are favorable, they form subaerial sporulating structures called fruiting bodies which take on a variety of forms.

Automating Dynamic Consent Decisions for the Processing of Social Media Data in Health Research.

Social media have become a rich source of data, particularly in health research. Yet, the use of such data raises significant ethical questions about the need for the informed consent of those being studied. Consent mechanisms, if even obtained, are typically broad and inflexible, or place a significant burden on the participant.

PFClust: an optimised implementation of a parameter-free clustering algorithm.

Background: A well-known problem in cluster analysis is finding an optimal number of clusters reflecting the inherent structure of the data. PFClust is a partitioning-based clustering algorithm capable, unlike many widely-used clustering algorithms, of automatically proposing an optimal number of clusters for the data.

Results: The results of tests on various types of data showed that PFClust can discover clusters of arbitrary shapes, sizes and densities.