نتایج جستجو برای: اکسازین¬ها, 6,5,4,1
تعداد نتایج: 31 فیلتر نتایج به سال:
5 Department of Pathology, Odense University Hospital, Institute of Clinical Research, Faculty of Health 14 Sciences, University of Southern Denmark, Sdr. Boulevard 29, 5000 Odense C, Denmark 15 Corresponding author: 16 David Gaist, MD, PhD, professor 17 Department of Neurology, Odense University Hospital, Sdr. Boulevard 29, 5000 Odense C, Denmark 18 E-mail: [email protected], telephone: +45...
We present V I photometry of the metal-poor inner halo globular clusters NGC 6293 and NGC 6541 using the planetary camera of the WFPC2 on board Hubble Space Telescope (HST). Our color-magnitude diagrams of the clusters show well-defined blue horizontal branch (BHB) populations, consistent with their low metallicities and old ages. NGC 6293 appears to have blue straggler stars in the cluster’s c...
Globular clusters (GCs) are emerging as a new class of γ-ray emitters, thanks to the data obtained from the Fermi Gamma-ray Space Telescope. By now, eight GCs are known to emit γ-rays at energies >100 MeV. Based on the stellar encounter rate of the GCs, we identify potential γ-ray emitting GCs out of all known GCs that have not been studied in details before. In this paper, we report the discov...
We present a chemical abundance study of three inner old halo clusters NGC 6287, NGC 6293, and NGC 6541, finding [Fe/H] = −2.01 ± 0.05, −1.99 ± 0.02, and −1.76 ± 0.02 (internal), respectively, and our metallicity measurements are in good agreement with previous estimates. We also present the radial velocity measurements of the clusters. Our radial velocity measurements for NGC 6293 and NGC 6541...
The multiple traveling salesmen problem with moving targets (MTSPMT) is a generalization of the classical traveling salesmen problem (TSP), where the targets (cities or objects) are moving over time. Additionally, for each target a visibility time window is given. The task is to find routes for several salesmen so that each target is reached exactly once within its visibility time window and th...
Abstract Background and Aims Machine learning (ML) holds great promise for improving diagnostics, prognostication theranostics in nephropathology. So far, applications have not gone much further than segmentation of tissue compartments on whole slide images (WSIs) paraffin sections. As a proof-of-concept study, we describe the development diagnostic classifier glomerulephritis based expert-anno...
Correspondence: Christina Ruhlmann Odense University Hospital, Department of Oncology, Sdr. Boulevard 29, DK-5000 Odense C, Denmark Tel +45 6541 3834 email christina.ruhlmann@ouh. regionsyddanmark.dk Abstract: Chemotherapy-induced nausea and vomiting (CINV) are among the most feared and distressing symptoms experienced by patients with cancer. The knowledge of the pathogenesis and neuropharmaco...
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