Reduction in maternal mortality requires an in-depth knowledge of the causes of death. This study was conducted to explore the circumstances and events leading to maternal mortality through a holistic approach. Using narrative text analysis, all documents related to maternal deaths occurred from 2007 to 2011 in Kerman province/Iran were reviewed thoroughly by an expert panel. A 93-item chart ab...

Root biomass distributions have long been used to infer patterns of resource uptake. These patterns are used to understand plant growth, plant coexistence and water budgets. Root biomass, however, may be a poor indicator of resource uptake because large roots typically do not absorb water, fine roots do not absorb water from dry soils and roots of different species can be difficult to different...

The IceCube Neutrino Telescope [1] is a multipurpose discovery experiment under construction at the South Pole. It is currently about half completed and is taking physics data. Upon completion in 2011, IceCube will instrument a volume of one cubic kilometer with 4800 Digital Optical Modules (DOMs). These will be vertically spaced with 17 m separation at a depth between 1450 m and 2450 m in the ...

It has been suggested that deep squats could cause an increased injury risk of the lumbar spine and the knee joints. Avoiding deep flexion has been recommended to minimize the magnitude of knee-joint forces. Unfortunately this suggestion has not taken the influence of the wrapping effect, functional adaptations and soft tissue contact between the back of thigh and calf into account. The aim of ...

We randomised 250 patients undergoing unilateral, elective hip arthroplasty for osteoarthritis to receive either a cemented or a non-cemented Mallory Head prosthesis. Aspirin was used as prophylaxis against thromboembolism during the first half of the study and adjusted-dose warfarin during the second half. Postoperatively, all patients were asked to have bilateral venography and 80% agreed. Al...

In this report, we proposes a neural network structure that combines a recurrent neural network (RNN) and a deep highway network. Compared with the highway RNN structures proposed in other studies, the one proposed in this study is simpler since it only concatenates a highway network after a pre-trained RNN. The main idea is to use the ‘iterative unrolled estimation’ of a highway network to fin...