1,333 research outputs found
Using metadynamics to obtain the free energy landscape for cation diffusion in functional ceramics : dopant distribution control in rare earth-doped BaTiO3
Barium titanate is the dielectric material of choice in most multilayer ceramic capacitors (MLCCs) and thus in the production of ≈3 trillion devices every year, with an estimated global market of ≈$8330 million per year. Rare earth dopants are regularly used to reduce leakage currents and improve the MLCC lifetime. Simulations are used to investigate the ability of yttrium, dysprosium, and gadolinium to reduce leakage currents by trapping mobile oxygen defects. All the rare earths investigated trap oxygen vacancies, however, dopant pairs are more effective traps than isolated dopants. The number of trapping sites increases with the ion size of the dopant, suggesting that gadolinium should be more effective than dysprosium, which contradicts experimental data. Additional simulations on diffusion of rare earths through the lattice during sintering show that dysprosium diffuses significantly faster than the other rare earths considered. As a consequence, its greater ability to reduce oxygen migration is a combination of thermodynamics (a strong ability to trap oxygen vacancies) and kinetics (sufficient distribution of the rare earth in the lattice to intercept the migrating defects)
Continuum Pion Production
This research was sponsored by the National Science Foundation Grant NSF PHY 87-1440
Risk, trust and patients’ strategic choices of healthcare practitioners
Research on patients’ choice of healthcare practitioners has focussed on countries with regulated and controlled healthcare markets. In contrast, low- and middle-income countries have a pluralistic landscape where untrained, unqualified and unlicensed informal healthcare providers (IHPs) provide significant share of services. Using qualitative data from 58 interviews in an Indian village, this paper explores how patients choose between IHPs and qualified practitioners in the public and formal private sectors. The study found that patients’ choices were structurally constrained by accessibility and affordability of care and choosing a practitioner from any sector presented some risk. Negotiation and engagement with risks depended on perceived severity of the health condition and trust in practitioners. Patients had low institutional trust in public and formal private sectors, whereas IHPs operated outside any institutional framework. Consequently, people relied on relational or competence-derived interpersonal trust. Care was sought from formal private practitioners for severe issues due to high-competence-based interpersonal trust in them, whereas for other issues IHPs were preferred due to high relationship-based interpersonal trust. The research shows that patients develop a strategic approach to practitioner choice by using trust to negotiate risks, and crucially, in low- and middle-income countries IHPs bridge a gap by providing accessible and affordable care imbued with relational–interpersonal trust
Dynamic tilting in perovskites
A new computational analysis of tilt behaviour in perovskites is presented. This includes the development of a computational program – PALAMEDES – to extract tilt angles and the tilt phase from molecular dynamics simulations. The results are used to generate simulated selected-area electron and neutron diffraction patterns which are compared with experimental patterns for CaTiO3. The simulations not only reproduced all symmetrically allowed superlattice reflections associated with tilt but also showed local correlations that give rise to symmetrically forbidden reflections and the kinematic origin of diffuse scattering
A computationally and cognitively plausible model of supervised and unsupervised learning
Author version made available in accordance with the publisher's policy. "The final publication is available at link.springer.com”The issue of chance correction has been discussed for many decades in the context of
statistics, psychology and machine learning, with multiple measures being shown to
have desirable properties, including various definitions of Kappa or Correlation, and
the psychologically validated ΔP measures. In this paper, we discuss the relationships
between these measures, showing that they form part of a single family of measures,
and that using an appropriate measure can positively impact learning
Recommendations for environmental baseline monitoring in areas of shale gas development
Environmental monitoring plays a key role in risk assessment and management of industrial
operations where there is the potential for the release of contaminants to the environment (i.e.
air and water) or for structural damage (i.e. seismicity). The shale-gas industry is one such
industry. It is also new to the UK and so specific environmental regulation and other controls
have been introduced only recently. Associated with this is a need to carry out monitoring to
demonstrate that the management measures to minimise the risk to the environment are being
effective. While much of the monitoring required is common to other industries and potentially
polluting activities, there are a number of requirements specific to shale gas and to what is a
new and undeveloped industry.
This report presents recommendations for environmental monitoring associated with shale-gas
activities and in particular the monitoring required to inform risk assessment and establish the
pre-existing environmental conditions at a site and surrounding area. This baseline monitoring
is essential to provide robust data and criteria for detecting any future adverse environmental
changes caused by the shale-gas operations. Monitoring is therefore required throughout the
lifecycle of a shale gas operation. During this lifecycle, the objectives of the monitoring will
change, from baseline characterisation to operational and post-operational monitoring.
Monitoring requirements will also change. This report focusses on good practice in baseline
monitoring and places it in the context of the longer-term environmental monitoring
programme, recognising the need to transition from the baseline condition and to establish
criteria for detecting any changes within the regulatory framework.
The core suite of environmental monitoring activities currently required to support regulatory
compliance, i.e. meet environmental and other permit conditions, encompasses monitoring of
seismicity, water quality (groundwater and surface water) and air quality. Recommendations
for each of these are included in this report. Additionally, recommendations for a number of
other types of environmental monitoring are included – radon in air, soil gas and ground motion
(subsidence/uplift). These are not associated directly with regulatory compliance but can
provide information to support interpretation of statutory monitoring results. They are also
considered important for public reassurance. Health impacts arising from radon and damage
caused by ground motion are both issues of public concern in relation to shale gas
From microscopic to macroscopic descriptions of cell\ud migration on growing domains
Cell migration and growth are essential components of the development of multicellular organisms. The role of various cues in directing cell migration is widespread, in particular, the role of signals in the environment in the control of cell motility and directional guidance. In many cases, especially in developmental biology, growth of the domain also plays a large role in the distribution of cells and, in some cases, cell or signal distribution may actually drive domain growth. There is a ubiquitous use of partial differential equations (PDEs) for modelling the time evolution of cellular density and environmental cues. In the last twenty years, a lot of attention has been devoted to connecting macroscopic PDEs with more detailed microscopic models of cellular motility, including models of directional sensing and signal transduction pathways. However, domain growth is largely omitted in the literature. In this paper, individual-based models describing cell movement and domain growth are studied, and correspondence with a macroscopic-level PDE describing the evolution of cell density is demonstrated. The individual-based models are formulated in terms of random walkers on a lattice. Domain growth provides an extra mathematical challenge by making the lattice size variable over time. A reaction-diffusion master equation formalism is generalised to the case of growing lattices and used in the derivation of the macroscopic PDEs
Genetic variation at MECOM, TERT, JAK2 and HBS1L-MYB predisposes to myeloproliferative neoplasms
Clonal proliferation in myeloproliferative neoplasms (MPN) is driven by somatic mutations in JAK2, CALR or MPL, but the contribution of inherited factors is poorly characterized. Using a three-stage genome-wide association study of 3,437 MPN cases and 10,083 controls, we identify two SNPs with genome-wide significance in JAK2V617F-negative MPN: rs12339666 (JAK2; meta-analysis P=1.27 × 10−10) and rs2201862 (MECOM; meta-analysis P=1.96 × 10−9). Two additional SNPs, rs2736100 (TERT) and rs9376092 (HBS1L/MYB), achieve genome-wide significance when including JAK2V617F-positive cases. rs9376092 has a stronger effect in JAK2V617F-negative cases with CALR and/or MPL mutations (Breslow–Day P=4.5 × 10−7), whereas in JAK2V617F-positive cases rs9376092 associates with essential thrombocythemia (ET) rather than polycythemia vera (allelic χ2 P=7.3 × 10−7). Reduced MYB expression, previously linked to development of an ET-like disease in model systems, associates with rs9376092 in normal myeloid cells. These findings demonstrate that multiple germline variants predispose to MPN and link constitutional differences in MYB expression to disease phenotype
Asymmetric Bethe-Salpeter equation for pairing and condensation
The Martin-Schwinger hierarchy of correlations are reexamined and the
three-particle correlations are investigated under various partial summations.
Besides the known approximations of screened, ladder and maximally crossed
diagrams the pair-pair correlations are considered. It is shown that the
recently proposed asymmetric Bethe-Salpeter equation to avoid unphysical
repeated collisions is derived as a result of the hierarchical dependencies of
correlations. Exceeding the parquet approximation we show that an asymmetry
appears in the selfconsistent propagators. This form is superior over the
symmetric selfconsistent one since it provides the Nambu-Gorkov equations and
gap equation for fermions and the Beliaev equations for bosons while from the
symmetric form no gap equation results. The selfenergy diagrams which account
for the subtraction of unphysical repeated collisions are derived from the
pair-pair correlation in the three-particle Greenfunction. It is suggested to
distinguish between two types of selfconsistency, the channel-dressed
propagators and the completely dressed propagators, with the help of which the
asymmetric expansion completes the Ward identity and is -derivable.Comment: 12 pages. 26 figure
A Taylor Model Based Description of the proof stress of magnesium AZ31 during hot working
A series of hot-compression tests and Taylor-model simulations were carried out with the intention of developing a simple expression for the proof stress of magnesium alloy AZ31 during hot working. A crude approximation of wrought textures as a mixture of a single ideal texture component and a random background was employed. The shears carried by each deformation system were calculated using a full-constraint Taylor model for a selection of ideal orientations as well as for random textures. These shears, in combination with the measured proof stresses, were employed to estimate the critical resolved shear stresses for basal slip, prismatic slip, ⟨c+a⟩ second-order pyramidal slip, and { } twinning. The model thus established provides a semianalytical estimation of the proof stress (a one-off Taylor simulation is required) and also indicates whether or not twinning is expected. The approach is valid for temperatures between ∼150 °C and ∼450 °C, depending on the texture, strain rate, and strain path
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