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Monitoring of electrical distribution grids requires the joint processing of electrical measurements from different grid locations. Such type of processing is influenced by inaccuracies in measurement data originating from measurement errors, non-ideal clocks in measurement devices, and from time averaging of measurands as part of the data collection process. This paper introduces an approach to assess the impact of these three different measurement artifacts in realistic measurement scenarios of electrical distribution grids. A case study of power loss calculation in a real-life medium-voltage grid is presented, covering both technical loss obtained from current measurement and total loss obtained from power measurements. The results show that total loss in general is more robust to aggregation of power measurements over longer measurement intervals, while it is more sensitive to measurement errors and clock offsets. The results of the study are important for quantifying the trustworthiness of the obtained loss values and for the future enhancement of the measurement data collection process. © 2023 ACM.
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The optical disc in the human retina can reveal important information about a person's health and well-being. We propose a deep learning-based approach to automatically identify the region in human retinal images that corresponds to the optical disc. We formulated the task as an image segmentation problem that leverages multiple public-domain datasets of human retinal fundus images. Using an attention-based residual U-Net, we showed that the optical disc in a human retina image can be detected with more than 99% pixel-level accuracy and around 95% in Matthew's Correlation Coefficient. A comparison with variants of UNet with different encoder CNN architectures ascertains the superiority of the proposed approach across multiple metrics.
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In this work, we propose a multi-task learning-based approach towards the localization of optic disc and fovea from human retinal fundus images using a deep learning-based approach. Formulating the task as an image-based regression problem, we propose a Densenet121-based architecture through an extensive set of experiments with a variety of CNN architectures. Our proposed approach achieved an average mean absolute error of only 13pixels (0.04%), mean squared error of 11 pixels (0.005%), and a root mean square error of only 0.02 (13%) on the IDRiD dataset.
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We report a new measurement of the production of electrons from open heavy-flavor hadron decays (HFEs) at mid-rapidity (|y| < 0.7) in Au+Au collisions at sNN = 200 GeV. Invariant yields of HFEs are measured for the transverse momentum range of 3.5 < p T < 9 GeV/c in various configurations of the collision geometry. The HFE yields in head-on Au+Au collisions are suppressed by approximately a factor of 2 compared to that in p + p collisions scaled by the average number of binary collisions, indicating strong interactions between heavy quarks and the hot and dense medium created in heavy-ion collisions. Comparison of these results with models provides additional tests of theoretical calculations of heavy quark energy loss in the quark-gluon plasma. [Figure not available: see fulltext.] © 2023, The Author(s).
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ABSTRACT: Breastfeeding affords numerous health benefits to mothers and children, but for women with HIV in the United States, avoidance of breastfeeding is recommended. Evidence from low-income countries demonstrates low risk of HIV transmission during breastfeeding with antiretroviral therapy, and the World Health Organization recommends exclusive breastfeeding and shared decision making about infant feeding options in low-income and middle-income countries. In the United States, gaps in knowledge exist surrounding the experiences, beliefs, and feelings of women with HIV surrounding infant feeding decisions. Undergirded by a framework of person-centered care, this study describes the experiences, beliefs, and feelings of women with HIV in the United States surrounding recommendations for breastfeeding avoidance. Although no participants reported consideration of breastfeeding, multiple gaps were identified with implications for the clinical care and counseling of the mother-infant dyad. Copyright © 2023 Association of Nurses in AIDS Care.
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This article examines anthropocentric and ecocentric tendencies in two major works written by Mario Vargas Llosa, The Storyteller and The Dream of the Celt, to identify the value of those novels in ecocritical terms. I provide this analysis in the context of recent academic dialogue which notes an apparent contradictory relationship between the presentation of abuses of Amazonian people and their environment, and the portrayal of Westernized protagonists as their saviors in fiction written by Vargas Llosa. This essay provides a solution to this paradox and other apparent contradictions in his narratives and posits that even though the anthropocentric literary discourse concerning the environment has declined throughout the latter part of the twentieth century, in part, due to the rise of the environmental movement, this type of discourse has changed in Vargas Llosa’s literature, rejecting early twentieth century misconceptions of the natural world but holding onto technocentric neoliberal beliefs. © 2023, University of Montevideo. All rights reserved.
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