55,855 research outputs found
Large-scale QRPA calculation of E1-strength and its impact on the neutron capture cross section
Large-scale QRPA calculations of the E1-strength are performed as a first
attempt to microscopically derive the radiative neutron capture cross sections
for the whole nuclear chart. A folding procedure is applied to the QRPA
strength distribution to take the damping of the collective motion into
account. It is shown that the resulting E1-strength function based on the SLy4
Skyrme force is in close agreement with photoabsorption data as well as the
available experimental E1-strength at low energies. The increase of the
E1-strength at low energies for neutron-rich nuclei is qualitatively analyzed
and shown to affect the corresponding radiative neutron capture cross section
significantly. A complete set of E1-strength function is made available for
practical applications in a table format for all 7<Z<111 nuclei lying between
the proton and the neutron drip lines.Comment: 17 pages, 8 figures, accepted for publication in Nucl. Phys.
Use of labour induction and risk of cesarean delivery: A systematic review and meta-analysis
Background: Induction of labour is common, and cesarean delivery is regarded as its major complication. We conducted a systematic review and meta-analysis to investigate whether the risk of cesarean delivery is higher or lower following labour induction compared with expectant management. Methods: We searched 6 electronic databases for relevant articles published through April 2012 to identify randomized controlled trials (RCTs) in which labour induction was compared with placebo or expectant management among women with a viable singleton pregnancy. We assessed risk of bias and obtained data on rates of cesarean delivery. We used regression analysis techniques to explore the effect of patient characteristics, induction methods and study quality on risk of cesarean delivery. Results: We identified 157 eligible RCTs (n = 31 085). Overall, the risk of cesarean delivery was 12% lower with labour induction than with expectant management (pooled relative risk [RR] 0.88, 95% confidence interval [CI] 0.84-0.93; I2 = 0%). The effect was significant in term and post-term gestations but not in preterm gestations. Meta-regression analysis showed that initial cervical score, indication for induction and method of induction did not alter the main result. There was a reduced risk of fetal death (RR 0.50, 95% CI 0.25-0.99; I2 = 0%) and admission to a neonatal intensive care unit (RR 0.86, 95% CI 0.79-0.94), and no impact on maternal death (RR 1.00, 95% CI 0.10-9.57; I2 = 0%) with labour induction. Interpretation: The risk of cesarean delivery was lower among women whose labour was induced than among those managed expectantly in term and post-term gestations. There were benefits for the fetus and no increased risk of maternal death. © 2014 Canadian Medical Association or its licensors
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Recent advances in understanding and managing chronic pelvic pain in women with special consideration to endometriosis
Chronic pelvic pain (CPP) in women is defined variably, but for clinical use it is cyclical or non-cyclical pain of at least 3-6 months' duration. It has major impacts on individuals and society. There are both structural and idiopathic causes. Whereas CPP is not curable in many cases, it is treatable. The most promising approach is multidisciplinary patient-centered care including cause-directed therapy, lifestyle changes, talking therapies, meditation, acupuncture, and physiotherapy (this is not a complete list). One of the most common structural causes for CPP is endometriosis. This review investigates current scientific concepts and recent innovations in this field as well as for CPP in general
The Giant Monopole Resonance in Pb isotopes
The extraction of the nuclear incompressibility from the isoscalar giant
monopole resonance (GMR) measurements is analysed. Both pairing and mutually
enhanced magicity (MEM) effects play a role in the shift of the GMR energy
between the doubly closed shell Pb nucleus and other Pb isotopes.
Pairing effects are microscopically predicted whereas the MEM effect is
phenomenologically evaluated. Accurate measurements of the GMR in open-shell Pb
isotopes are called for.Comment: 4 page
Microscopic HFB+QRPA predictions of dipole strength for astrophysics applications
Large-scale QRPA calculations of the E1 strength are performed on top of HFB
calculations in order to derive the radiative neutron capture cross sections
for the whole nuclear chart. The spreading width of the GDR is taken into
account by analogy with the second-RPA (SRPA) method. The accuracy of HFB+QRPA
model based on various Skyrme forces with different pairing prescription and
parameterization is analyzed. It is shown that the present model allows to
constrain the effective nucleon-nucleon interaction with the GDR data and to
provide quantitative predictions of dipole strengths.Comment: 21 pages, 9 figure
Multi-GCN: Graph Convolutional Networks for Multi-View Networks, with Applications to Global Poverty
With the rapid expansion of mobile phone networks in developing countries,
large-scale graph machine learning has gained sudden relevance in the study of
global poverty. Recent applications range from humanitarian response and
poverty estimation to urban planning and epidemic containment. Yet the vast
majority of computational tools and algorithms used in these applications do
not account for the multi-view nature of social networks: people are related in
myriad ways, but most graph learning models treat relations as binary. In this
paper, we develop a graph-based convolutional network for learning on
multi-view networks. We show that this method outperforms state-of-the-art
semi-supervised learning algorithms on three different prediction tasks using
mobile phone datasets from three different developing countries. We also show
that, while designed specifically for use in poverty research, the algorithm
also outperforms existing benchmarks on a broader set of learning tasks on
multi-view networks, including node labelling in citation networks
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