1,795 research outputs found
Hyperfine Quenching of the Level in Zn-like Ions
In this paper, we used the multiconfiguration Dirac-Fock method to compute
with high precision the influence of the hyperfine interaction on the
level lifetime in Zn-like ions for stable and some
quasi-stable isotopes of nonzero nuclear spin between Z=30 and Z=92. The
influence of this interaction on the separation energy is also calculated for the same ions
Analysis of X-ray spectra emitted from laser-produced plasmas of uranium
In this paper, we used the multiconfiguration Dirac-Fock method to generate
theoretical X-ray spectra for Co-, Ni-, Cu-, Zn-, Ga-, Ge-, As-, Se-, Br-, Kr-,
and Rb-like uranium ions. Using the distribution of these ions in a
laser-produced plasma, for different plasma temperatures, we generate
theoretical spectra, which are compared to experimental data
Relativistic correlation correction to the binding energies of the ground configuration of Beryllium-like, Neon-like, Magnesium-like and Argon-like ions
Total electronic correlation correction to the binding energies of the
isoelectronic series of Beryllium, Neon, Magnesium and Argon, are calculated in
the framework of relativistic multiconfiguration Dirac-Fock method. Convergence
of the correlation energies is studied as the active set of orbitals is
increased. The Breit interaction is treated fully self-consistently. The final
results can be used in the accurately determination of atomic masses from
highly charged ions data obtained in Penning-trap experiments.Comment: version soumise 3/08/200
Bayesian spatial+: A joint model perspective
A common phenomenon in spatial regression models is spatial confounding. This
phenomenon occurs when spatially indexed covariates modeling the mean of the
response are correlated with a spatial effect included in the model. spatial+
Dupont et al. (2022) is a popular approach to reducing spatial confounding.
spatial+ is a two-stage frequentist approach that explicitly models the spatial
structure in the confounded covariate, removes it, and uses the corresponding
residuals in the second stage. In a frequentist setting, there is no
uncertainty propagation from the first stage estimation determining the
residuals since only point estimates are used. Inference can also be cumbersome
in a frequentist setting, and some of the gaps in the original approach can
easily be remedied in a Bayesian framework. First, a Bayesian joint model can
easily achieve uncertainty propagation from the first to the second stage of
the model. In a Bayesian framework, we also have the tools to infer the model's
parameters directly. Notably, another advantage of using a Bayesian framework
we thoroughly explore is the ability to use prior information to impose
restrictions on the spatial effects rather than applying them directly to their
posterior. We build a joint prior for the smoothness of all spatial effects
that simultaneously shrinks towards a high smoothness of the response and
imposes that the spatial effect in the response is a smoother of the confounded
covariates' spatial effect. This prevents the response from operating at a
smaller scale than the covariate and can help to avoid situations where there
is insufficient variation in the residuals resulting from the first stage
model. We evaluate the performance of the Bayesian spatial+ via both simulated
and real datasets
Les interventions éducatives et leurs effets sur la qualité de vie des individus atteints de maladies inflammatoires chroniques de l'intestin: travail de Bachelor
Les maladies inflammatoires chroniques de l’intestin (MICI) sont deux pathologies qui sont peu connues aux yeux de la population. Pourtant, elles ont un impact important sur la qualité de vie des personnes. L’objectif de cette revue de littérature est d'identifier les effets que les différentes interventions éducatives pourraient avoir sur la qualité de vie des personnes atteintes de MICI. Cette revue est composée de 8 articles qui regroupent des études randomisées contrôlées dont certaines en grappe ou en double aveugle, des revues systématiques (méta-analyse, méta-régression) et une revue critique
Influence of GABA and GABA-producing Lactobacillus brevis DPC 6108 on the development of diabetes in a streptozotocin rat model
peer-reviewedThe aim of this study was to investigate if dietary administration of γ-aminobutyric acid (GABA)-producing Lactobacillus brevis DPC 6108 and pure GABA exert protective effects against the development of diabetes in streptozotocin (STZ)-induced diabetic Sprague Dawley rats. In a first experiment, healthy rats were divided in 3 groups (n=10/group) receiving placebo, 2.6 mg/kg body weight (bw) pure GABA or L. brevis DPC 6108 (~109microorganisms). In a second experiment, rats (n=15/group) were randomised to five groups and four of these received an injection of STZ to induce type 1 diabetes. Diabetic and non-diabetic controls received placebo [4% (w/v) yeast extract in dH2O], while the other three diabetic groups received one of the following dietary supplements: 2.6 mg/kg bw GABA (low GABA), 200 mg/kg bw GABA (high GABA) or ~109 L. brevis DPC 6108. L. brevis DPC 6108 supplementation was associated with increased serum insulin levels (P0.05), compared with non-diabetic controls while all other diabetic groups displayed reduced diversity (P<0.05). L. brevis DPC 6108 attenuated hyperglycaemia induced by diabetes but additional studies are needed to understand the mechanisms involved in this reduction.The authors and their work were supported
by the APC Microbiome Institute. The APC Microbiome Institute is funded by Science Foundation Ireland (SFI).
This publication has emanated from research supported by a research grant from Science Foundation Ireland (SFI) under Grant Number SFI/12/RC/2273
Living labs : Challenging and changing the smart city power relations?
Acord transformatiu CRUE-CSICSmart cities refer to place-specific collaborative systems where multiple actors collaborate to collectively address public problems. However, smart city initiatives regularly frame citizens as the weakest link, as passive consumers rather than active creative agents. This article argues that power imbalances between citizens and other organisational participants structurally mute citizens' voices, ultimately compromising smart cities' aims. Living laboratories are a popular smart city intervention that have the potential to address this power imbalance and empower citizens to influence smart city development. This research theoretically and empirically explores this role of living labs through a multiple-case study of urban living labs in the region of Catalonia. The findings uncover a 'power banking' mechanism which, coupled with other critical factors, facilitates the effectiveness of such initiatives. The considerable efforts required to engage citizens at a fairly basic level suggest that incorporating citizens into smart city models is more challenging than simplistic Quadruple Helix discourses convey
Automated Application-level Checkpointing of MPI Programs
Because of increasing hardware and software complexity, the running
time of many computational science applications is now more than the mean-time-to-failure of high-performance computing platforms. Therefore, computational science applications need to tolerate hardware failures. In this paper, we focus on the stopping failure model in which a faulty process hangs and stops responding to the rest of the system. We argue that tolerating such faults is best done by an approach called application-level coordinated non-blocking checkpointing, and that existing fault-tolerance protocols in teh literature are not suitable for implementing this approach. In this paper, we present a suitable protocol, and show how it can be used with a precompiler that instruments C/MPI programs to save application and MPI library state. An advantage of our approach is that it is independent of the MPI implementation. We present experimental results that argue that the overhead of using our system can be small
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