8 research outputs found

    Identification and mitigation of a vibrational telescope systematic with application to spitzer

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    We observed Proxima Centauri with the Spitzer Space Telescope Infrared Array Camera five times in 2016 and 2017 to search for transits of Proxima Centauri b. Following standard analysis procedures, we found three asymmetric, transit-like events that are now understood to be vibrational systematics. This systematic is correlated with the width of the point-response function (PRF), which we measure with rotated and nonrotated-Gaussian fits with respect to the detector array. We show that the systematic can be removed with a novel application of an adaptive elliptical-aperture photometry technique, and compare the performance of this technique with fixed and variable circular-aperture photometry, using both BiLinearly Interpolated Subpixel Sensitivity (BLISS) maps and nonbinned Pixel-Level Decorrelation (PLD). With BLISS maps, elliptical photometry results in a lower standard deviation of normalized residuals, and reduced or similar correlated noise when compared to circular apertures. PLD prefers variable, circular apertures, but generally results in more correlated noise than BLISS. This vibrational effect is likely present in other telescopes and Spitzer observations, where correction could improve results. Our elliptical apertures can be applied to any photometry observations, and may be even more effective when applied to more circular PRFs than Spitzer's.The authors acknowledge support from the following: CATA-Basal/Chile PB06 Conicyt and Fondecyt/Chile project #1161218 (J.S.J.). Spanish MINECO programs AYA2016-79245-C03-03-P, ESP2017-87676-C05-02-R (E.R.), ESP2016-80435-C2-2-R (E.P.) and through the “Centre of Excellence Severo Ochoa” award SEV-2017-0709 (P.J.A.,C.R.-L., E.R.). STFC Consolidated Grant ST/P000592/1 (G.A.E.). NASA Planetary Atmospheres Program grant NNX12AI69G and NASA Astrophysics Data Analysis Program grant NNX13AF38G (R.C., J.H., K.M., M.H.). Spanish Ministry of Science, Innovation and Universities and the Fondo Europeo de Desarrollo Regional (FEDER) through grant ESP2016-80435-C2-1-R and PGC2018-098153-B-C33 (I.R.)

    AI-ready data in space science and solar physics: problems, mitigation and action plan

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    In the domain of space science, numerous ground-based and space-borne data of various phenomena have been accumulating rapidly, making analysis and scientific interpretation challenging. However, recent trends in the application of artificial intelligence (AI) have been shown to be promising in the extraction of information or knowledge discovery from these extensive data sets. Coincidentally, preparing these data for use as inputs to the AI algorithms, referred to as AI-readiness, is one of the outstanding challenges in leveraging AI in space science. Preparation of AI-ready data includes, among other aspects: 1) collection (accessing and downloading) of appropriate data representing the various physical parameters associated with the phenomena under study from different repositories; 2) addressing data formats such as conversion from one format to another, data gaps, quality flags and labeling; 3) standardizing metadata and keywords in accordance with NASA archive requirements or other defined standards; 4) processing of raw data such as data normalization, detrending, and data modeling; and 5) documentation of technical aspects such as processing steps, operational assumptions, uncertainties, and instrument profiles. Making all existing data AI-ready within a decade is impractical and data from future missions and investigations exacerbates this. This reveals the urgency to set the standards and start implementing them now. This article presents our perspective on the AI-readiness of space science data and mitigation strategies including definition of AI-readiness for AI applications; prioritization of data sets, storage, and accessibility; and identifying the responsible entity (agencies, private sector, or funded individuals) to undertake the task

    Polymorphism: an evaluation of the potential risk to the quality of drug products from the Farmácia Popular Rede Própria

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    CRISPR-Cas9 Gene Editing for Sickle Cell Disease and β-Thalassemia

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    Transfusion-dependent β-thalassemia (TDT) and sickle cell disease (SCD) are the most common inherited hematologic disorders, affecting approximately 60,000 and 300,000 patients worldwide, respectively. Current therapies, including red blood cell (RBC) transfusion and iron chelation in TDT and transfusion, pain management, and hydroxyurea in SCD, help to manage the disorders but do not address the underlying cause. Drug therapies, such as crizanlizumab and luspatercept, have also helped to reduce the need for transfusion in TDT patients and the incidence of vaso-occlusive episodes in SCD patients. Allogeneic bone marrow transplantationmay be a curative option, but finding an appropriate donor is difficult. An association has been observed between elevated levels of fetal hemoglobin and improved morbidity and mortality in these patients. Downregulating BCL11A, a transcription factor that blocks fetal hemoglobin in erythroid cells, may help to increase fetal hemoglobin levels and improve outcomes. Using the CRISPR-Cas9 gene-editing technique, CTX001, an investigational drug, was infused in 2 patients. This article describes the results of infusing CTX001 in 1 patient with TDT and another with SCD. © 2021 Wolters Kluwer Health, Inc. All rights reserved

    CRISPR-Cas9 gene editing for sickle cell disease and β-thalassemia

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    Transfusion-dependent β-thalassemia (TDT) and sickle cell disease (SCD) are severe monogenic diseases with severe and potentially life-threatening manifestations. BCL11A is a transcription factor that represses ã-globin expression and fetal hemoglobin in erythroid cells. We performed electroporation of CD34+ hematopoietic stem and progenitor cells obtained from healthy donors, with CRISPR-Cas9 targeting the BCL11A erythroid-specific enhancer. Approximately 80% of the alleles at this locus were modified, with no evidence of off-target editing. After undergoing myeloablation, two patients-one with TDT and the other with SCD-received autologous CD34+ cells edited with CRISPR-Cas9 targeting the same BCL11A enhancer. More than a year later, both patients had high levels of allelic editing in bone marrow and blood, increases in fetal hemoglobin that were distributed pancellularly, transfusion independence, and (in the patient with SCD) elimination of vaso-occlusive episodes. © 2020 Massachusetts Medical Society

    Protein Mediators of Sterol Transport Across Intestinal Brush Border Membrane

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