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Understanding inhomogeneous MT (ihMT) in multi-parameter mapping of human brain: Towards larger ihMT, higher resolution, and influence of T1d

Inhomogenous Magnetization Transfer (ihMT), the differential response to irradiation at single and dual frequency offsets, is more complex than MT approaches. Expressing ihMT in terms of MT-saturation (ihMTsat) is a first step to quantification as it corrects for underlying T and B . Larger ihMTsat was observed for smaller frequency offsets, which is explained using MTsat as proxy for bound pool s

Mapping the architecture of the temporal artery with photoacoustic imaging for diagnosing giant cell arteritis

Photoacoustic (PA) imaging is rapidly emerging as a promising clinical diagnostic tool. One of the main applications of PA imaging is to image vascular networks in humans. This relies on the signal obtained from oxygenated and deoxygenated hemoglobin, which limits imaging of the vessel wall itself. Giant cell arteritis (GCA) is a treatable, but potentially sight- and life-threatening disease, in w

Speeding up tight binding calculations using zone-folding methods

Tight binding models are widely used in large scale electronic structure calculations of nanostructures. Their atomistic nature makes them flexible, but also means the computational cost increases rapidly with system size. The large number of calculations required to design nanostructures makes computational efficiency desirable. We have developed a method to increase computational speed while ret

Clinical evaluation versus magnetic resonance imaging findings in patients with radicular arm pain—A pragmatic study

Objectives: Cervical nerve root compression can lead to radiculopathy in the arm. Some studies have reported low accuracy in determining the responsible nerve root in both cervical and lumbar regions. This prospective, observational, pragmatic study aimed to determine the accuracy of the clinical evaluation relative to magnetic resonance imaging (MRI) findings in patients with arm radiculopathy. M

Assessing the Effect of Incretin Hormones and Other Insulin Secretagogues on Pancreatic Beta-Cell Function : Review on Mathematical Modelling Approaches

Mathematical modelling in glucose metabolism has proven very useful for different reasons. Several models have allowed deeper understanding of the relevant physiological and pathophysiological aspects and promoted new experimental activity to reach increased knowledge of the biological and physiological systems of interest. Glucose metabolism modelling has also proven useful to identify the parame

Activating transformation : Integrating interior dimensions of climate change in adaptation planning

The increasing number and complexity of urban risk and disasters have a significant bearing on the emotional and mental wellbeing of those who are exposed and hamper their responses. Nevertheless, current discourses and approaches to increase resilience tend to focus on broader socio-economic, physical and environmental systems. This reflects a failure by the academic and practitioner communities

What story do you want to live?

What do your thoughts and intentions have to do with the climate crisis we are living in? Quite a lot, if we believe emerging science. Let’s look at how they influence not only our personal, but also our collective story, and why they are key for creating a more sustainable future.

Adding Dual Variables to Algebraic Reasoning for Gate-Level Multiplier Verification

Algebraic reasoning has proven to be one of the most effective approaches for verifying gate-level integer mul-tipliers, but it struggles with certain components, necessitating the complementary use of SAT solvers. For this reason validation certificates require proofs in two different formats. Approaches to unify the certificates are not scalable, meaning that the validation results can only be t