Ultraspinning instability: the missing link

We study linearized perturbations of Myers-Perry black holes in d=7, with two of the three angular momenta set to be equal, and show that instabilities always appear before extremality. Analogous results are expected for all higher odd d. We determine numerically the stationary perturbations that mark the onset of instability for the modes that preserve the isometries of the background. The onset is continuously connected between the previously studied sectors of solutions with a single angular momentum and solutions with all angular momenta equal. This shows that the near-extremality instabilities are of the same nature as the ultraspinning instability of d>5 singly-spinning solutions, for which the angular momentum is unbounded. Our results raise the question of whether there are any extremal Myers-Perry black holes which are stable in d>5.Comment: 19 pages. 1 figur

Ethnobiology : the missing link in ecology and evolution

Evolutionary biologists and ecologists increasingly appreciate the value of local knowledge of human communities for research into the past, present, and future of biodiversity. However, there are often significant problems accessing and interpreting this knowledge. Here, we argue that closer interaction with ethnobiologists, who study the relation between humans and the natural world, will enable local knowledge to be better applied in ecological and evolutionary biological research. This will provide more comprehensive answers to the scientific questions being asked, and will result in improved engagement with both academic and non-academic communities

The Missing Link: the key to improved wound assessment

Clinicians discuss using Debrisoft to improve wound assessement, quality of life and cost effectiveness

Link Prediction via Generalized Coupled Tensor Factorisation

This study deals with the missing link prediction problem: the problem of predicting the existence of missing connections between entities of interest. We address link prediction using coupled analysis of relational datasets represented as heterogeneous data, i.e., datasets in the form of matrices and higher-order tensors. We propose to use an approach based on probabilistic interpretation of tensor factorisation models, i.e., Generalised Coupled Tensor Factorisation, which can simultaneously fit a large class of tensor models to higher-order tensors/matrices with com- mon latent factors using different loss functions. Numerical experiments demonstrate that joint analysis of data from multiple sources via coupled factorisation improves the link prediction performance and the selection of right loss function and tensor model is crucial for accurately predicting missing links

Microbiota: the missing link in the etiology of inflammatory bowel disease

Within its twisted and tight walls, where a hostile and arid environment prevails, the lumen of the digestive tract nests a true microuniverse called the microbiota. The existing relationship between humans and these microorganisms is one in which both benefit, creating a condition called Eubiosis. The dynamic relationship existing between the microbiota and the human body can be affected at various times, leading to an imbalance that may have important implications on health and generating a condition called Disbiosis. Recent studies have highlighted possible links between several diseases with incompletely elucidated etiology and disturbances of the microbiota. In this review we aim to analyze the existing relationship between the imbalances of the gastrointestinal flora and the etiopathogeny inflammatory bowel diseases, a group of diseases whose incidence has increased considerably in recent years