805 research outputs found
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
The rising popularity of intelligent mobile devices and the daunting
computational cost of deep learning-based models call for efficient and
accurate on-device inference schemes. We propose a quantization scheme that
allows inference to be carried out using integer-only arithmetic, which can be
implemented more efficiently than floating point inference on commonly
available integer-only hardware. We also co-design a training procedure to
preserve end-to-end model accuracy post quantization. As a result, the proposed
quantization scheme improves the tradeoff between accuracy and on-device
latency. The improvements are significant even on MobileNets, a model family
known for run-time efficiency, and are demonstrated in ImageNet classification
and COCO detection on popular CPUs.Comment: 14 pages, 12 figure
New first trimester crown-rump length's equations optimized by structured data collection from a French general population
--- Objectives --- Prior to foetal karyotyping, the likelihood of Down's
syndrome is often determined combining maternal age, serum free beta-HCG,
PAPP-A levels and embryonic measurements of crown-rump length and nuchal
translucency for gestational ages between 11 and 13 weeks. It appeared
important to get a precise knowledge of these scan parameters' normal values
during the first trimester. This paper focused on crown-rump length. ---
METHODS --- 402 pregnancies from in-vitro fertilization allowing a precise
estimation of foetal ages (FA) were used to determine the best model that
describes crown-rump length (CRL) as a function of FA. Scan measures by a
single operator from 3846 spontaneous pregnancies representative of the general
population from Northern France were used to build a mathematical model linking
FA and CRL in a context as close as possible to normal scan screening used in
Down's syndrome likelihood determination. We modeled both CRL as a function of
FA and FA as a function of CRL. For this, we used a clear methodology and
performed regressions with heteroskedastic corrections and robust regressions.
The results were compared by cross-validation to retain the equations with the
best predictive power. We also studied the errors between observed and
predicted values. --- Results --- Data from 513 spontaneous pregnancies allowed
to model CRL as a function of age of foetal age. The best model was a
polynomial of degree 2. Datation with our equation that models spontaneous
pregnancies from a general population was in quite agreement with objective
datations obtained from 402 IVF pregnancies and thus support the validity of
our model. The most precise measure of CRL was when the SD was minimal
(1.83mm), for a CRL of 23.6 mm where our model predicted a 49.4 days of foetal
age. Our study allowed to model the SD from 30 to 90 days of foetal age and
offers the opportunity of using Zscores in the future to detect growth
abnormalities. --- Conclusion --- With powerful statistical tools we report a
good modeling of the first trimester embryonic growth in the general population
allowing a better knowledge of the date of fertilization useful in the
ultrasound screening of Down's syndrome. The optimal period to measure CRL and
predict foetal age was 49.4 days (9 weeks of gestational age). Our results open
the way to the detection of foetal growth abnormalities using CRL Zscores
throughout the first trimester
Cosmology from HI galaxy surveys with the SKA
The Square Kilometer Array (SKA) has the potential to produce galaxy redshift surveys which
will be competitive with other state of the art cosmological experiments in the next decade. In this
chapter we summarise what capabilities the first and the second phases of the SKA will be able
to achieve in its current state of design. We summarise the different cosmological experiments
which are outlined in further detail in other chapters of this Science Book. The SKA will be
able to produce competitive Baryonic Oscillation (BAOs) measurements in both its phases. The
first phase of the SKA will provide similar measurements in optical and IR experiments with
completely different systematic effects whereas the second phase being transformational in terms
of its statistical power. The SKA will produce very accurate Redshift Space Distortions (RSD)
measurements, being superior to other experiments at lower redshifts, due to the large number
of galaxies. Cross correlations of the galaxy redshift data from the SKA with radio continuum
surveys and optical surveys will provide extremely good calibration of photometric redshifts as
well as extremely good bounds on modifications of gravity. Basing on a Principle Component
Analysis (PCA) approach, we find that the SKA will be able to provide competitive constraint
on dark energy and modified gravity models. Due to the large area covered the SKA it will be a
transformational experiment in measuring physics from the largest scales such as non-Gaussian
signals. Finally, the SKA might produce the first real time measurement of the redshift
drift. The SKA will be a transformational machine for cosmology as it grows from an early Phase
1 to its full power
Ethical climate and intention to leave among critical care clinicians : an observational study in 68 intensive care units across Europe and the United States
PurposeApart from organizational issues, quality of inter-professional collaboration during ethical decision-making may affect the intention to leave one's job. To determine whether ethical climate is associated with the intention to leave after adjustment for country, ICU and clinicians characteristics.MethodsPerceptions of the ethical climate among clinicians working in 68 adult ICUs in 12 European countries and the US were measured using a self-assessment questionnaire, together with job characteristics and intent to leave as a sub-analysis of the Dispropricus study. The validated ethical decision-making climate questionnaire included seven factors: not avoiding decision-making at end-of-life (EOL), mutual respect within the interdisciplinary team, open interdisciplinary reflection, ethical awareness, self-reflective physician leadership, active decision-making at end-of-life by physicians, and involvement of nurses in EOL. Hierarchical mixed effect models were used to assess associations between these factors, and the intent to leave in clinicians within ICUs, within the different countries.ResultsOf 3610 nurses and 1137 physicians providing ICU bedside care, 63.1% and 62.9% participated, respectively. Of 2992 participating clinicians, 782 (26.1%) had intent to leave, of which 27% nurses, 24% junior and 22.7% senior physicians. After adjustment for country, ICU and clinicians characteristics, mutual respect OR 0.77 (95% CI 0.66- 0.90), open interdisciplinary reflection (OR 0.73 [95% CI 0.62-0.86]) and not avoiding EOL decisions (OR 0.87 [95% CI 0.77-0.98]) were all associated with a lower intent to leave.ConclusionThis is the first large multicenter study showing an independent association between clinicians' intent to leave and the quality of the ethical climate in the ICU. Interventions to reduce intent to leave may be most effective when they focus on improving mutual respect, interdisciplinary reflection and active decision-making at EOL
Outcome in patients perceived as receiving excessive care across different ethical climates : a prospective study in 68 intensive care units in Europe and the USA
Whether the quality of the ethical climate in the intensive care unit (ICU) improves the identification of patients receiving excessive care and affects patient outcomes is unknown.
In this prospective observational study, perceptions of excessive care (PECs) by clinicians working in 68 ICUs in Europe and the USA were collected daily during a 28-day period. The quality of the ethical climate in the ICUs was assessed via a validated questionnaire. We compared the combined endpoint (death, not at home or poor quality of life at 1 year) of patients with PECs and the time from PECs until written treatment-limitation decisions (TLDs) and death across the four climates defined via cluster analysis.
Of the 4747 eligible clinicians, 2992 (63%) evaluated the ethical climate in their ICU. Of the 321 and 623 patients not admitted for monitoring only in ICUs with a good (n = 12, 18%) and poor (n = 24, 35%) climate, 36 (11%) and 74 (12%), respectively were identified with PECs by at least two clinicians. Of the 35 and 71 identified patients with an available combined endpoint, 100% (95% CI 90.0-1.00) and 85.9% (75.4-92.0) (P = 0.02) attained that endpoint. The risk of death (HR 1.88, 95% CI 1.20-2.92) or receiving a written TLD (HR 2.32, CI 1.11-4.85) in patients with PECs by at least two clinicians was higher in ICUs with a good climate than in those with a poor one. The differences between ICUs with an average climate, with (n = 12, 18%) or without (n = 20, 29%) nursing involvement at the end of life, and ICUs with a poor climate were less obvious but still in favour of the former.
Enhancing the quality of the ethical climate in the ICU may improve both the identification of patients receiving excessive care and the decision-making process at the end of life
Measurement of the forward Z boson production cross-section in pp collisions at TeV
A measurement of the production cross-section of Z bosons in pp collisions at TeV is presented using dimuon and dielectron final states in LHCb data. The cross-section is measured for leptons with pseudorapidities in the range , transverse momenta GeV and dilepton invariant mass in the range GeV. The integrated cross-section from averaging the two final states is \begin{equation*}\sigma_{\text{Z}}^{\ell\ell} = 194.3 \pm 0.9 \pm 3.3 \pm 7.6\text{ pb,}\end{equation*} where the first uncertainty is statistical, the second is due to systematic effects, and the third is due to the luminosity determination. In addition, differential cross-sections are measured as functions of the Z boson rapidity, transverse momentum and the angular variable
Subsequent Event Risk in Individuals with Established Coronary Heart Disease:Design and Rationale of the GENIUS-CHD Consortium
BACKGROUND:
The "GENetIcs of sUbSequent Coronary Heart Disease" (GENIUS-CHD) consortium was established to facilitate discovery and validation of genetic variants and biomarkers for risk of subsequent CHD events, in individuals with established CHD.
METHODS:
The consortium currently includes 57 studies from 18 countries, recruiting 185,614 participants with either acute coronary syndrome, stable CHD or a mixture of both at baseline. All studies collected biological samples and followed-up study participants prospectively for subsequent events.
RESULTS:
Enrollment into the individual studies took place between 1985 to present day with duration of follow up ranging from 9 months to 15 years. Within each study, participants with CHD are predominantly of self-reported European descent (38%-100%), mostly male (44%-91%) with mean ages at recruitment ranging from 40 to 75 years. Initial feasibility analyses, using a federated analysis approach, yielded expected associations between age (HR 1.15 95% CI 1.14-1.16) per 5-year increase, male sex (HR 1.17, 95% CI 1.13-1.21) and smoking (HR 1.43, 95% CI 1.35-1.51) with risk of subsequent CHD death or myocardial infarction, and differing associations with other individual and composite cardiovascular endpoints.
CONCLUSIONS:
GENIUS-CHD is a global collaboration seeking to elucidate genetic and non-genetic determinants of subsequent event risk in individuals with established CHD, in order to improve residual risk prediction and identify novel drug targets for secondary prevention. Initial analyses demonstrate the feasibility and reliability of a federated analysis approach. The consortium now plans to initiate and test novel hypotheses as well as supporting replication and validation analyses for other investigators
Search for dark matter produced in association with bottom or top quarks in √s = 13 TeV pp collisions with the ATLAS detector
A search for weakly interacting massive particle dark matter produced in association with bottom or top quarks is presented. Final states containing third-generation quarks and miss- ing transverse momentum are considered. The analysis uses 36.1 fb−1 of proton–proton collision data recorded by the ATLAS experiment at √s = 13 TeV in 2015 and 2016. No significant excess of events above the estimated backgrounds is observed. The results are in- terpreted in the framework of simplified models of spin-0 dark-matter mediators. For colour- neutral spin-0 mediators produced in association with top quarks and decaying into a pair of dark-matter particles, mediator masses below 50 GeV are excluded assuming a dark-matter candidate mass of 1 GeV and unitary couplings. For scalar and pseudoscalar mediators produced in association with bottom quarks, the search sets limits on the production cross- section of 300 times the predicted rate for mediators with masses between 10 and 50 GeV and assuming a dark-matter mass of 1 GeV and unitary coupling. Constraints on colour- charged scalar simplified models are also presented. Assuming a dark-matter particle mass of 35 GeV, mediator particles with mass below 1.1 TeV are excluded for couplings yielding a dark-matter relic density consistent with measurements
Les droits disciplinaires des fonctions publiques : « unification », « harmonisation » ou « distanciation ». A propos de la loi du 26 avril 2016 relative à la déontologie et aux droits et obligations des fonctionnaires
The production of tt‾ , W+bb‾ and W+cc‾ is studied in the forward region of proton–proton collisions collected at a centre-of-mass energy of 8 TeV by the LHCb experiment, corresponding to an integrated luminosity of 1.98±0.02 fb−1 . The W bosons are reconstructed in the decays W→ℓν , where ℓ denotes muon or electron, while the b and c quarks are reconstructed as jets. All measured cross-sections are in agreement with next-to-leading-order Standard Model predictions.The production of , and is studied in the forward region of proton-proton collisions collected at a centre-of-mass energy of 8 TeV by the LHCb experiment, corresponding to an integrated luminosity of 1.98 0.02 \mbox{fb}^{-1}. The bosons are reconstructed in the decays , where denotes muon or electron, while the and quarks are reconstructed as jets. All measured cross-sections are in agreement with next-to-leading-order Standard Model predictions
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