Mr. Richard J. George was misidentified as "Richard G. George" as the co-author of the work entitled, "Characterization of Archaeological Sediments Using Fourier Transform Infrared (FT-IR) and Portable X-ray Fluorescence (pXRF): An Application to Formative Period Pyro-Industrial Sites in Pacific Coastal Southern Chiapas, Mexico", by Hector Neff, Scott J. Bigney, Sachiko Sakai, Paul R. Burger, Timothy Garfin, Richard J. George, Brendan J. Culleton, and Douglas J. Kennett, [Applied Spectroscopy, January 2016, vol. 70(01): 110-127. doi: 10.1177/0003702815617124]. We apologize for the error.
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http://dx.doi.org/10.1177/0003702816653556 | DOI Listing |
Phys Rev Lett
November 2024
Department of Physics, Hayes Hall, Kenyon College, Gambier, Ohio 43022, USA.
Leveraging the features of the GstLAL pipeline, we present the results of a matched filtering search for asymmetric binary black hole systems with heavily misaligned spins in LIGO and Virgo data taken during the third observing run. Our target systems show strong imprints of precession whereas current searches have nonoptimal sensitivity in detecting them. After measuring the sensitivity improvement brought by our search over standard spin-aligned searches, we report the detection of 30 gravitational wave events already discovered in the latest version of the Gravitational Wave Transient Catalog.
View Article and Find Full Text PDFCurr Biol
November 2024
Department of Human Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA; Department of Genetics, Harvard Medical School, Boston, MA 02115, USA; Max Planck-Harvard Research Center for the Archaeoscience of the Ancient Mediterranean, 04103 Leipzig, Germany; Max Planck-Harvard Research Center for the Archaeoscience of the Ancient Mediterranean, Cambridge, MA 02138, USA; Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany. Electronic address:
Front Neurosci
October 2024
Faculty of Electrical and Computer Engineering, School of Engineering Sciences, Dresden University of Technology, Dresden, Germany.
Introduction: Multi-channel electrophysiology systems for recording of neuronal activity face significant data throughput limitations, hampering real-time, data-informed experiments. These limitations impact both experimental neurobiology research and next-generation neuroprosthetics.
Methods: We present a novel solution that leverages the high integration density of 22nm fully-depleted silicon-on-insulator technology to address these challenges.
Anaesthesia
November 2024
National Insitute for Health Research University College London Hospitals Biomedical Research Centre, University College, London, UK.
Background: Critical care beds are a limited resource, yet research indicates that recommendations for postoperative critical care admission based on patient-level risk stratification are not followed. It is unclear how prioritisation decisions are made in real-world settings and the effect of this prioritisation on outcomes.
Methods: This was a prespecified analysis of an observational cohort study of adult patients undergoing inpatient surgery, conducted in 274 hospitals across the UK and Australasia during 2017.
J Am Heart Assoc
August 2024
Early Clinical Development, Cardiovascular, Renal and Metabolism, BioPharmaceuticals R&D AstraZeneca Warsaw Poland.
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