BACKGROUND We have previously proposed a theoretical model for studying physical disability and other outcomes in rheumatoid arthritis (RA). The purpose of this paper is to test a model of impairment and functional limitation in (RA), using empirical data from a sample of RA patients. We based the model on the disablement process framework. METHODS We posited two distinct types of impairment ...

fracture mapping of late permian-early triassic flat-lying sedimentary rocks in the sydney basin,new south wales, australia, shows that joints developed originally in extension were faulted in subsequentevents. joints with a regional distribution fall into two (early and late) formed groups. group i joints propagatedhorizontally and never interfered with each other. these joints were subsequent...

Automatic estimation of human pose has long been a goal of computer vision, to which a solution would have a wide range of applications. In this paper we formulate the pose estimation task within a regression and Hough voting framework to predict 2D joint locations from depth data captured by a consumer depth camera. In our approach the offset from each pixel to the location of each joint is pr...

An arti...cial neural network model is used to predict the performance of Sino-foreign joint ventures. Performance of international joint ventures remains a relatively under-researched area, yet its importance is well recognized due to the tremendous surge in joint venture activities in the past decade. Data on 2,416 Sino-foreign joint ventures was gathered, allowing for empirical analysis usin...

Traditionally, monitoring biomechanics parameters requires a significant amount of sensors to track exercises such as gait. Both research and clinical studies have relied on intricate motion capture studios yield precise measurements movement. We propose method that captures independently optical hardware with the specific goal identifying phases gait using joint angle measurement approaches li...

Based on recent developments in joint regression models for quantile and expected shortfall, this paper seeks to develop analyse the risk right tail of distribution non-negative dependent random variables. We propose an algorithm estimate conditional expectation regressions, introducing generalized with link functions that are similar those linear models. To preserve natural ordering measures a...

Abstract Visual tracking of generic objects is one the fundamental but challenging problems in computer vision. Here, we propose a novel fully convolutional Siamese network to solve visual by directly predicting target bounding box an end-to-end manner. We first reformulate task as two subproblems: classification problem for pixel category prediction and regression object status estimation at t...