6,634 research outputs found

    Blockwise SVD with error in the operator and application to blind deconvolution

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    We consider linear inverse problems in a nonparametric statistical framework. Both the signal and the operator are unknown and subject to error measurements. We establish minimax rates of convergence under squared error loss when the operator admits a blockwise singular value decomposition (blockwise SVD) and the smoothness of the signal is measured in a Sobolev sense. We construct a nonlinear procedure adapting simultaneously to the unknown smoothness of both the signal and the operator and achieving the optimal rate of convergence to within logarithmic terms. When the noise level in the operator is dominant, by taking full advantage of the blockwise SVD property, we demonstrate that the block SVD procedure overperforms classical methods based on Galerkin projection or nonlinear wavelet thresholding. We subsequently apply our abstract framework to the specific case of blind deconvolution on the torus and on the sphere

    Practical quantum realization of the ampere from the electron charge

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    One major change of the future revision of the International System of Units (SI) is a new definition of the ampere based on the elementary charge \emph{e}. Replacing the former definition based on Amp\`ere's force law will allow one to fully benefit from quantum physics to realize the ampere. However, a quantum realization of the ampere from \emph{e}, accurate to within 10−810^{-8} in relative value and fulfilling traceability needs, is still missing despite many efforts have been spent for the development of single-electron tunneling devices. Starting again with Ohm's law, applied here in a quantum circuit combining the quantum Hall resistance and Josephson voltage standards with a superconducting cryogenic amplifier, we report on a practical and universal programmable quantum current generator. We demonstrate that currents generated in the milliampere range are quantized in terms of efJef_\mathrm{J} (fJf_\mathrm{J} is the Josephson frequency) with a measurement uncertainty of 10−810^{-8}. This new quantum current source, able to deliver such accurate currents down to the microampere range, can greatly improve the current measurement traceability, as demonstrated with the calibrations of digital ammeters. Beyond, it opens the way to further developments in metrology and in fundamental physics, such as a quantum multimeter or new accurate comparisons to single electron pumps.Comment: 15 pages, 4 figure

    High Dimensional Classification with combined Adaptive Sparse PLS and Logistic Regression

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    Motivation: The high dimensionality of genomic data calls for the development of specific classification methodologies, especially to prevent over-optimistic predictions. This challenge can be tackled by compression and variable selection, which combined constitute a powerful framework for classification, as well as data visualization and interpretation. However, current proposed combinations lead to instable and non convergent methods due to inappropriate computational frameworks. We hereby propose a stable and convergent approach for classification in high dimensional based on sparse Partial Least Squares (sparse PLS). Results: We start by proposing a new solution for the sparse PLS problem that is based on proximal operators for the case of univariate responses. Then we develop an adaptive version of the sparse PLS for classification, which combines iterative optimization of logistic regression and sparse PLS to ensure convergence and stability. Our results are confirmed on synthetic and experimental data. In particular we show how crucial convergence and stability can be when cross-validation is involved for calibration purposes. Using gene expression data we explore the prediction of breast cancer relapse. We also propose a multicategorial version of our method on the prediction of cell-types based on single-cell expression data. Availability: Our approach is implemented in the plsgenomics R-package.Comment: 9 pages, 3 figures, 4 tables + Supplementary Materials 8 pages, 3 figures, 10 table

    Academic integrity: An educative and equitable approach in enabling pathway programs

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    This paper unpacks the key components of an educative approach to academic integrity and applies them to enabling pathway programs. Enabling programs progress high numbers of students from recognised equity groups into undergraduate studies and are recognised for supporting and encouraging students and fostering a sense of belonging (Burke, Bennett, Burgess, Gray, & Southgate, 2016; Hellmundt & Baker, 2017; Lane & Sharp, 2014). University measures to support academic integrity can, on the other hand, be perceived as procedure-based and punitive (Dalal, 2015). In this paper, we provide an integrative review of literature on the common features of an educative approach to academic integrity and enabling programs and introduce exemplars from two universities of enabling pedagogies applied to academic integrity

    A Mitochondrial Health Index Sensitive to Mood and Caregiving Stress.

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    BACKGROUND:Chronic life stress, such as the stress of caregiving, can promote pathophysiology, but the underlying cellular mechanisms are not well understood. Chronic stress may induce recalibrations in mitochondria leading to changes either in mitochondrial content per cell, or in mitochondrial functional capacity (i.e., quality). METHODS:Here we present a functional index of mitochondrial health (MHI) for human leukocytes that can distinguish between these two possibilities. The MHI integrates nuclear and mitochondrial DNA-encoded respiratory chain enzymatic activities and mitochondrial DNA copy number. We then use the MHI to test the hypothesis that daily emotional states and caregiving stress influence mitochondrial function by comparing healthy mothers of a child with an autism spectrum disorder (high-stress caregivers, n = 46) with mothers of a neurotypical child (control group, n = 45). RESULTS:The MHI outperformed individual mitochondrial function measures. Elevated positive mood at night was associated with higher MHI, and nightly positive mood was also a mediator of the association between caregiving and MHI. Moreover, MHI was correlated to positive mood on the days preceding, but not following the blood draw, suggesting for the first time in humans that mitochondria may respond to proximate emotional states within days. Correspondingly, the caregiver group, which had higher perceived stress and lower positive and greater negative daily affect, exhibited lower MHI. This effect was not explained by a mismatch between nuclear and mitochondrial genomes. CONCLUSIONS:Daily mood and chronic caregiving stress are associated with mitochondrial functional capacity. Mitochondrial health may represent a nexus between psychological stress and health

    Characterization of a dense aperture array for radio astronomy

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    EMBRACE@Nancay is a prototype instrument consisting of an array of 4608 densely packed antenna elements creating a fully sampled, unblocked aperture. This technology is proposed for the Square Kilometre Array and has the potential of providing an extremely large field of view making it the ideal survey instrument. We describe the system,calibration procedures, and results from the prototype.Comment: 17 pages, accepted for publication in A&

    Healthcare Reform for Imagers Finding a Way Forward Now

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    The changing healthcare environment presents many challenges to cardiovascular imagers. This perspective paper uses current trends to propose strategies that cardiovascular imagers can follow to lead in managing change and developing the imaging laboratory of the future. In the area of quality, imagers are encouraged to follow guidelines and standards, implement structured reporting and laboratory databases, adopt ongoing quality improvement programs, and use benchmarks to confirm imaging quality. In the area of access, imagers are encouraged to enhance availability of testing, focus on patient and referring physician value and satisfaction, collaboratively implement new technologies and uses of imaging, integrate health information technology in the laboratory, and work toward the appropriate inclusion of imaging in new healthcare delivery models. In the area of cost, imagers are encouraged to minimize laboratory operating expenses without compromising quality, and to take an active role in care redesign initiatives to ensure that imaging is utilized appropriately and at proper time intervals. Imagers are also encouraged to learn leadership and management skills, undertake strategic planning exercises, and build strong, collaborative teams. Although it is difficult to predict the future of cardiovascular imaging delivery, a reasonable sense of the likely direction of many changes and careful attention to the fundamentals of good health care (quality, access, and cost) can help imagers to thrive now and in the future

    Multifaceted mitochondria: moving mitochondrial science beyond function and dysfunction.

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    Mitochondria have cell-type specific phenotypes, perform dozens of interconnected functions and undergo dynamic and often reversible physiological recalibrations. Given their multifunctional and malleable nature, the frequently used terms 'mitochondrial function' and 'mitochondrial dysfunction' are misleading misnomers that fail to capture the complexity of mitochondrial biology. To increase the conceptual and experimental specificity in mitochondrial science, we propose a terminology system that distinguishes between (1) cell-dependent properties, (2) molecular features, (3) activities, (4) functions and (5) behaviours. A hierarchical terminology system that accurately captures the multifaceted nature of mitochondria will achieve three important outcomes. It will convey a more holistic picture of mitochondria as we teach the next generations of mitochondrial biologists, maximize progress in the rapidly expanding field of mitochondrial science, and also facilitate synergy with other disciplines. Improving specificity in the language around mitochondrial science is a step towards refining our understanding of the mechanisms by which this unique family of organelles contributes to cellular and organismal health.S
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