840 research outputs found
A de Finetti representation for finite symmetric quantum states
Consider a symmetric quantum state on an n-fold product space, that is, the
state is invariant under permutations of the n subsystems. We show that,
conditioned on the outcomes of an informationally complete measurement applied
to a number of subsystems, the state in the remaining subsystems is close to
having product form. This immediately generalizes the so-called de Finetti
representation to the case of finite symmetric quantum states.Comment: 22 pages, LaTe
IEA annex 58 : full-scale empirical validation of detailed thermal simulation programs
As simulation programs become more widely used for building performance assessment and building regulations compliance, there is a need to ensure that there are good quality empirical datasets which can be used to assess the predictive accuracy of these programs. This paper summarises a detailed experiment carried out on two identical full-scale buildings located at the Fraunhofer IBP test site at Holzkirchen in Germany and the associated modelling of the buildings. The work was undertaken as part of IEA ECB Annex 58 "Reliable building energy performance characterization based on full scale dynamic measurements". The test sequence, applied to the side-by-side validation experiment conducted on the multi-roomed Twin Houses, consisted of periods of constant internal temperatures, a period of pseudo-random heat injections and a free-float period. All boundary and internal conditions were comprehensively monitored. Modelling teams were given details of the buildings and the boundary conditions, and over 20 teams submitted their predictions of the internal conditions which were subsequently compared with measurements. The paper focuses on a sensitivity study carried out to assess the overall prediction uncertainty resulting from the uncertainties in the input parameters, as well as identifying those inputs which had the most influence on predictions. An assessment of the measurement uncertainty is also included
Weighing the Galactic disk using phase-space spirals III. Probing distant regions of the disk using the Gaia EDR3 proper motion sample
We have applied our method for weighing the Galactic disk using phase-space
spirals to the Gaia EDR3 proper motion sample. For stars in distant regions of
the Galactic disk, the latitudinal proper motion has a close projection with
vertical velocity, such that the phase-space spiral in the plane of vertical
position and vertical velocity can be observed without requiring that all stars
have available radial velocity information. We divided the Galactic plane into
360 separate data samples, each corresponding to an area cell in the Galactic
plane in the distance range of 1.4-3.4 kpc, with an approximate cell length of
200-400 pc. Roughly half of our data samples were disqualified altogether due
to severe selection effects, especially in the direction of the Galactic
centre. In the remainder, we were able to infer the vertical gravitational
potential by fitting an analytic model of the phase-space spiral to the data.
This work is the first of its kind, in the sense that we are weighing distant
regions of the Galactic disk with a high spatial resolution, without relying on
the strong assumptions of axisymmetry. Post-inference, we fit a thin disk scale
length of kpc, although this value is sensitive to the considered
spatial region. We see surface density variations as a function of azimuth on
the order of 10-20 %, which is roughly the size of our estimated sum of
potential systematic biases. With this work, we have demonstrated that our
method can be used to weigh distant regions of the Galactic disk despite strong
selection effects. We expect to reach even greater distances and improve our
accuracy with future Gaia data releases and further improvements to our method.Comment: 18 pages, 19 figures, accepted for publication in A&
Sequence randomness and polymer collapse transitions
Contrary to expectations based on Harris' criterion, chain disorder with
frustration can modify the universality class of scaling at the theta
transition of heteropolymers. This is shown for a model with random two-body
potentials in 2D on the basis of exact enumeration and accurate Monte Carlo
results. When frustration grows beyond a certain finite threshold, the
temperature below which disorder becomes relevant coincides with the theta one
and scaling exponents definitely start deviating from those valid for
homopolymers.Comment: 4 pages, 4 eps figure
Adverse Perinatal Outcome in Subsequent Pregnancy after Stillbirth by Placental Vascular Disorders
Objective: To evaluate outcome in the pregnancy following a stillbirth (SB) by a placental vascular disorders. Study Design: A prospective, observational, multicenter study was conducted in woman with a history of stillbirth (> 22 weeks) between 2005 and June 2013, in 3 Italian University Hospitals. Causes of SB were previously identified after extensive investigations. Pregnant women were enrolled within the first trimester. The main outcome was "adverse neonatal outcome", including perinatal death, fetal growth restriction, early preterm birth <33+6 weeks, hypoxicischemic encephalopathy, intracranial hemorrhage or respiratory distress. Results: Out of 364 index pregnancies, 320 women (87.9%) had a subsequent pregnancy during the study period. Forty-seven had an early pregnancy loss. Out of 273 babies, 67 (24.5%) had an adverse perinatal outcome, including 1 SB and 1 early neonatal death (3.7/1000). Women who had a SB related to placental vascular disorders (39.6%), were at higher risk of an adverse neonatal outcome compared with women whose SB was unexplained or resulted from other causes (Adj. OR = 2.1, 95%CI: 1.2-3.8). Moreover, also obesity independently predicts an adverse perinatal outcome (Adj OR = 2.1, 95%CI: 1.1-4.3). Conclusion: When previous SB is related to placental vascular disorders there is a high risk for adverse neonatal outcomes in the subsequent pregnancy. Maternal obesity is an additional risk factor
First-trimester prediction of gestational hypertension through the bioelectrical impedance analysis of the body composition
OBJECTIVE: Obesity is a risk factor for the development of gestational hypertension, with important consequences for both the mother and fetus. This prospective observational study aims to propose an early prediction model of hypertensive disorders in pregnancy among obese women, through the bioelectrical impedance analysis (BIA) at the first trimester, thus allowing early recognition of obese women that are at risk to develop gestational hypertension, in order to target preventive interventions. PATIENTS AND METHODS: Singleton obese women (BMI ≥ 30 kg/m2) between the 9th and 12th week of pregnancy were included in the study. The exclusion criteria were chronic diseases, like type 2 diabetes mellitus, hypertension, and other medical pre-existing conditions. Eligible women were followed up at 20, 28, and 36 weeks of gestation by measuring blood pressure, weight, and body composition with the use of the BIA. The diagnosis of gestational hypertension was made after the 20th week of gestation. Pregnancy and perinatal outcomes were then recorded. RESULTS: Of the 479 women included in the study, 85 (17.7%) developed gestational hypertension; the remaining 394 (82.3%) resulted to be normotensive. A higher rate of nulliparous women was found in the hypertensive group (50.6% vs. 37.6%, p = 0.02), together with a higher rate of induction of labor (55.3% vs. 40.9%, p = 0.02) and of small for gestational age (SGA) newborns (12.9% vs. 6.9%, p = 0.03). Significant differences emerged in the body composition between the two groups already from the first trimester, indeed women developing gestational hypertension showed elevated values of Total body Mass, FM, FFM, TBW (p < 0.02), and of leg's FM, FFM (p < 0.006). At the multivariate logistics regression, the risk of developing gestational hypertension resulted higher in women with elevated total body water levels in the first trimester (OR 1.10 95% CI 1.04 -1.92). CONCLUSIONS: The BIA is a rapid, easy, non-invasive, and inexpensive tool to evaluate the body composition of obese pregnant women. It represents a promising predictor of hypertensive disorders in pregnancy, which allows an early identification of the patients at risk of developing gestational hypertension, thus opening a window of opportunity for strictly monitoring and target preventive intervention
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