This paper presents a novel apparatus, combined with application of the Virtual Fields Method (VFM) for high frequency characterisation mechanical response ultra-soft materials. The viscoelastic is characterised under harmonic deviatoric loading at range frequencies using dynamic VFM in domain. Obtaining useful rate data on soft materials challenging typical test methodologies, as low speed sou...

OBJECTIVES Conventional magnetic resonance imaging (MRI) is used to diagnose and monitor inflammatory disease in relapsing remitting (RR) multiple sclerosis (MS). In the less common primary progressive (PP) form of MS, in which focal inflammation is less evident, biomarkers are still needed to enable evaluation of novel therapies in clinical trials. Our objective was to characterize the associa...

The absence of tools for mapping the forces that drive morphogenetic movements in embryos has impeded our understanding of animal development. Here we describe a unique approach, video force microscopy (VFM), that allows detailed, dynamic force maps to be produced from time-lapse images. The forces at work in an embryo are considered to be decomposed into active and passive elements, where acti...

Much of the literature on value for money (VFM) evaluation of private finance initiative (PFI) contracts has concentrated on the financial methodology of constructing the public sector comparator (PSC) and its limitations. In contrast, this paper focuses on examining how ‘PFI bids’ are actually evaluated for VFM in the case of three secondary school PFI contracts. It is a unique study which pre...

OBJECTIVE Diabetic neuropathy is a length-dependent process that leads to reduced muscle strength and atrophy of leg muscles in some patients. We hypothesized that intrinsic foot muscles are atrophied in diabetic neuropathy and that the degree of atrophy is a measure of motor dysfunction closely related to the neuropathic process. RESEARCH DESIGN AND METHODS Consecutive cross-sectional magnet...

The relationship between multiple sclerosis (MS) and early micro-structural changes in brain tissue is at the forefront of ongoing research in the fields of neuroimaging and clinical neurology [1]. Quantitative MR imaging techniques that permit the formation of maps of underlying MR parameters such as tissue longitudinal (T1) and transverse (T2) relaxation time, have the ability to detect early...

Virtual flow metering (VFM) is a cost-effective and non-intrusive technology for inferring multiphase rates in petroleum assets. Inferences about are fundamental to decision support systems that operators extensively rely on. Data-driven VFM, where mechanistic models replaced with machine learning models, has recently gained attention due its promise of lower maintenance costs. While excellent ...

The normal myelination of neuronal axons is essential to neurodevelopment, allowing fast inter-neuronal communication. The most dynamic period of myelination occurs in the first few years of life, in concert with a dramatic increase in cognitive abilities. How these processes relate, however, is still unclear. Here we aimed to use a data-driven technique to parcellate developing white matter in...