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Collaborative participatory policy approaches based on foresight methodology have recently been proposed as promising governance tools to achieve sustainability in general, and address and manage challenges of integrating competing demands on forest land use (e.g., timber production, nature protection, recreation) in particular.
Several case studies employing such a hybrid methodology have recently been published.
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The Magnetic Resonance Fingerprinting (MRF) methodology has recently been developed to simultaneously generate inherently co-registered T1 and T2 relaxation time maps in both patients19,20,21 and animal models22, 23.
The resulting methodology has recently been adopted by the ITU-T as the new Recommendation ITU-T Rec.
Future production of fossil fuels is usually modeled using 'ultimately recoverable resources' models, and a similar methodology has recently been applied to copper (Northey et al. 2014).
The application of 3D methodology has recently been receiving increasing attention at many PET centres, and this monograph is an attempt to provide a state-of-the-art review of this methodology, covering 3D reconstruction methods, quantitative procedures, current tomography performance, and clinical and research applications.
This methodology has recently been used by tobacco control researchers to assess patient preferences for competing smoking cessation strategies.
With the advent of large-scale genomics, a tremendous amount of both data and methodology has recently been published to address the underlying DFE of new mutations.
Such methodology has recently been used successfully in studies of cortical and subcortical grey matter diffusivity in AD and other neurodegenerative conditions [ 38, 50, 51], and could potentially be transferred to the clinical setting.
This innovative methodology has recently been used to answer important questions in functional genomics, such as the degree of similarities between microarray datasets from different laboratories or with different experimental models or clinical cohorts.
Our methodology has recently been utilized by others to show protection from ischemia-reperfusion injury in the liver (Lin et al., 2013) and to enhance drug sensitivity in human cancer cells (Elliott et al., 2012).
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