38 research outputs found
Prospects for Valuation in Marine Decision Making in Europe
There is now high-level recognition that the UN Sustainable Development Goals can only be achieved if the decline of ecosystems and biodiversity can be halted and reversed. This will require effective control of ongoing pressures, meaningful protection and enforcement of protected areas, and significant investments in ecosystem restoration. This paper explores the possible use of economic valuation and appraisal in achieving these goals in marine systems and discusses the European marine policy instruments where they should have an important role The paper first briefly reviews the tools of economic valuation and appraisal for marine ecosystem management. A critique of the use of economic valuation and appraisal in marine conservation and restoration is then presented. The paper argues that while progress has been made there remains a pressing need for better integration of marine environmental values in policy processes. It also highlights the fact that the focus on natural capital accounting, and more generally on green/blue growth and market instruments, could create a reliance on exchange values at the expense of welfare values required for policy appraisal
Prospects for Valuation in Marine Decision Making in Europe
There is now high-level recognition that the UN Sustainable Development Goals can only be achieved if the decline of ecosystems and biodiversity can be halted and reversed. This will require effective control of ongoing pressures, meaningful protection and enforcement of protected areas, and significant investments in ecosystem restoration. This paper explores the possible use of economic valuation and appraisal in achieving these goals in marine systems and discusses the European marine policy instruments where they should have an important role The paper first briefly reviews the tools of economic valuation and appraisal for marine ecosystem management. A critique of the use of economic valuation and appraisal in marine conservation and restoration is then presented. The paper argues that while progress has been made there remains a pressing need for better integration of marine environmental values in policy processes. It also highlights the fact that the focus on natural capital accounting, and more generally on green/blue growth and market instruments, could create a reliance on exchange values at the expense of welfare values required for policy appraisal.publishedVersio
Prospects for Valuation in Marine Decision Making in Europe
There is now high-level recognition that the UN Sustainable Development Goals can only be achieved if the decline of ecosystems and biodiversity can be halted and reversed. This will require effective control of ongoing pressures, meaningful protection and enforcement of protected areas, and significant investments in ecosystem restoration. This paper explores the possible use of economic valuation and appraisal in achieving these goals in marine systems and discusses the European marine policy instruments where they should have an important role The paper first briefly reviews the tools of economic valuation and appraisal for marine ecosystem management. A critique of the use of economic valuation and appraisal in marine conservation and restoration is then presented. The paper argues that while progress has been made there remains a pressing need for better integration of marine environmental values in policy processes. It also highlights the fact that the focus on natural capital accounting, and more generally on green/blue growth and market instruments, could create a reliance on exchange values at the expense of welfare values required for policy appraisal
The role of economics in ecosystem based management:The case of the EU Marine Strategy Framework Directive; first lessons learnt and way forward
The EU Marine Strategy Framework Directive (MSFD) sets out a plan of action relating to marine environmental policy and in particular to achieving ‘good environmental status’ (GES) in European marine waters by 2020. Article 8.1 (c) of the Directive calls for ‘an economic and social analysis of the use of those waters and of the cost of degradation of the marine environment’. The MSFD is ‘informed’ by the Ecosystem Approach to management, with GES interpreted in terms of ecosystem functioning and services provision. Implementation of the Ecosystem Approach is expected to be by adaptive management policy and practice. The initial socio-economic assessment was made by maritime EU Member States between 2011 and 2012, with future updates to be made on a regular basis. For the majority of Member States, this assessment has led to an exercise combining an analysis of maritime activities both at national and coastal zone scales, and an analysis of the non-market value of marine waters. In this paper we examine the approaches taken in more detail, outline the main challenges facing the Member States in assessing the economic value of achieving GES as outlined in the Directive and make recommendations for the theoretically sound and practically useful completion of the required follow-up economic assessments specified in the MSFD
Indirect evidence for an active radio pulsar in the quiescent state of the transient ms pulsar SAX J1808.4-3658
Millisecond radio pulsars are neutron stars that have been spun-up by the
transfer of angular momentum during the low-mass X-ray binary phase. The
transition from an accretion-powered to a rotation-powered pulsar takes place
on evolutionary timescales at the end of the accretion process, however it may
also occur sporadically in systems undergoing transient X-ray activity. We have
obtained the first optical spectrum of the low mass transient X-ray pulsar SAX
J1808.4-3658 in quiescence. Similar to the black widow millisecond pulsar
B1957+20, this X-ray pulsar shows a large optical modulation at the orbital
period due to an irradiated companion star. Using the brightness of the
companion star as a bolometer, we conclude that a very high irradiating
luminosity, a factor of ~100 larger than directly observed, must be present in
the system. This most likely derives from a rotation-powered neutron star that
resumes activity during quiescence.Comment: Accepted for publication on ApJL (3 pages +2 color figures,
references added
On the nature of the "radio quiet" black hole binaries
The accretion/ejection coupling in accreting black hole binaries has been
described by empirical relations between the X-ray/radio and
X-ray/optical-infrared luminosities. These correlations were initially supposed
to be universal. However, recently many sources have been found to produce jets
that, given certain accretion-powered luminosities, are fainter than expected
from the correlations. This shows that black holes with similar accretion flows
can produce a broad range of outflows in power. Here we discuss whether typical
parameters of the binary system, as well as the properties of the outburst,
produce any effect on the energy output in the jet. We also define a jet-toy
model in which the bulk Lorentz factor becomes larger than ~1 above ~0.1% of
the Eddington luminosity. We finally compare the "radio quiet" black holes with
the neutron stars.Comment: in the Proceedings of IAU Symposium 275, "Jets at all Scales", Buenos
Aires, Argentina, 13-17 September 2010, eds. G.E. Romero, R.A. Sunyaev and T.
Bellon
The genetic architecture of the human cerebral cortex
The cerebral cortex underlies our complex cognitive capabilities, yet little is known about the specific genetic loci that influence human cortical structure. To identify genetic variants that affect cortical structure, we conducted a genome-wide association meta-analysis of brain magnetic resonance imaging data from 51,665 individuals. We analyzed the surface area and average thickness of the whole cortex and 34 regions with known functional specializations. We identified 199 significant loci and found significant enrichment for loci influencing total surface area within regulatory elements that are active during prenatal cortical development, supporting the radial unit hypothesis. Loci that affect regional surface area cluster near genes in Wnt signaling pathways, which influence progenitor expansion and areal identity. Variation in cortical structure is genetically correlated with cognitive function, Parkinson's disease, insomnia, depression, neuroticism, and attention deficit hyperactivity disorder
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Brain multiplexes reveal morphological connectional biomarkers fingerprinting late brain dementia states
Accurate diagnosis of mild cognitive impairment (MCI) before conversion to Alzheimer’s disease (AD) is invaluable for patient treatment. Many works showed that MCI and AD affect functional and structural connections between brain regions as well as the shape of cortical regions. However, ‘shape connections’ between brain regions are rarely investigated -e.g., how morphological attributes such as cortical thickness and sulcal depth of a specific brain region change in relation to morphological attributes in other regions. To fill this gap, we unprecedentedly design morphological brain multiplexes for late MCI/AD classification. Specifically, we use structural T1-w MRI to define morphological brain networks, each quantifying similarity in morphology between different cortical regions for a specific cortical attribute. Then, we define a brain multiplex where each intra-layer represents the morphological connectivity network of a specific cortical attribute, and each inter-layer encodes the similarity between two consecutive intra-layers. A significant performance gain is achieved when using the multiplex architecture in comparison to other conventional network analysis architectures. We also leverage this architecture to discover morphological connectional biomarkers fingerprinting the difference between late MCI and AD stages, which included the right entorhinal cortex and right caudal middle frontal gyrus
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Multimodal and Multiscale Deep Neural Networks for the Early Diagnosis of Alzheimer’s Disease using structural MR and FDG-PET images
Alzheimer’s Disease (AD) is a progressive neurodegenerative disease where biomarkers for disease based on pathophysiology may be able to provide objective measures for disease diagnosis and staging. Neuroimaging scans acquired from MRI and metabolism images obtained by FDG-PET provide in-vivo measurements of structure and function (glucose metabolism) in a living brain. It is hypothesized that combining multiple different image modalities providing complementary information could help improve early diagnosis of AD. In this paper, we propose a novel deep-learning-based framework to discriminate individuals with AD utilizing a multimodal and multiscale deep neural network. Our method delivers 82.4% accuracy in identifying the individuals with mild cognitive impairment (MCI) who will convert to AD at 3 years prior to conversion (86.4% combined accuracy for conversion within 1–3 years), a 94.23% sensitivity in classifying individuals with clinical diagnosis of probable AD, and a 86.3% specificity in classifying non-demented controls improving upon results in published literature
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The impact of PICALM genetic variations on reserve capacity of posterior cingulate in AD continuum
Phosphatidylinositolbinding clathrin assembly protein (PICALM) gene is one novel genetic player associated with late-onset Alzheimer’s disease (LOAD), based on recent genome wide association studies (GWAS). However, how it affects AD occurrence is still unknown. Brain reserve hypothesis highlights the tolerant capacities of brain as a passive means to fight against neurodegenerations. Here, we took the baseline volume and/or thickness of LOAD-associated brain regions as proxies of brain reserve capacities and investigated whether PICALM genetic variations can influence the baseline reserve capacities and the longitudinal atrophy rate of these specific regions using data from Alzheimer’s Disease Neuroimaging Initiative (ADNI) dataset. In mixed population, we found that brain region significantly affected by PICALM genetic variations was majorly restricted to posterior cingulate. In sub-population analysis, we found that one PICALM variation (C allele of rs642949) was associated with larger baseline thickness of posterior cingulate in health. We found seven variations in health and two variations (rs543293 and rs592297) in individuals with mild cognitive impairment were associated with slower atrophy rate of posterior cingulate. Our study provided preliminary evidences supporting that PICALM variations render protections by facilitating reserve capacities of posterior cingulate in non-demented elderly