Frailty is an age-related syndrome that has been well-described in the last ten years. It can be characterized by diminished strength, endurance, and reduced physiologic function. With multiple causes and contributors, frailty is highly correlated with functional decline and chronic diseases. Currently, there are no standardized tests or biomarkers that can be used to identify frail patients, t...

In this paper we present the results of the University of Sheffield (SHEF) submissions for the WMT16 shared task on document-level Quality Estimation (Task 3). Our submission explore discourse and document-aware information and word embeddings as features, with Support Vector Regression and Gaussian Process used to train the Quality Estimation models. The use of word embeddings (combined with b...

Introduction: Frailty is a common geriatric syndrome. Studies of frailty and old age have been able to help reduce its underlying causes and complication. Understanding the frailty and its associated factors in developing countries such as Iran, can help gather information on conditions of the elderly and better plan for this age population. Therefore, the present study was implemented to inves...

Latent Gaussian models are flexible models that are applied in several statistical applications. When posterior marginals or full conditional distributions in hierarchical Bayesian inference from these models are not available in closed form, Markov chain Monte Carlo methods are implemented. The component dependence of the latent field usually causes increase in computational time and divergenc...