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Inpatient Audiograms: A Mixed Methods Study Examining Clinical Decision Making, Financial Analyses, and Audiologist Perspectives.
Otolaryngol Head Neck Surg
January 2025
Department of Otolaryngology-Head and Neck Surgery, University of Michigan, Ann Arbor, Michigan, USA.
Objective: Evaluate inpatient audiometry on clinical decision-making. Assess stakeholder perspectives on the practice of inpatient audiometry and financial impact.
Study Design: This is a mixed methods study utilizing retrospective chart review, a focus group, and financial analyses.
Noninvasive in vivo imaging of macrophages: understanding tumor microenvironments and delivery of therapeutics.
Biomark Res
January 2025
BK21 FOUR KNU Convergence Educational Program of Biomedical Sciences for Creative Future Talents, Department of Biomedical Sciences, School of Medicine, Kyungpook National University, Daegu, 41944, Korea.
Macrophages are pivotal in the body's defense and response to inflammation. They are present in significant numbers and are widely implicated in various diseases, including cancer. While molecular and histological techniques have advanced our understanding of macrophage biology, their precise function within the cancerous microenvironments remains underexplored.
View Article and Find Full Text PDFMachine learning approach for noninvasive intracranial pressure estimation using pulsatile cranial expansion waveforms.
NPJ Digit Med
January 2025
Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, USA.
Noninvasive methods for intracranial pressure (ICP) monitoring have emerged, but none has successfully replaced invasive techniques. This observational study developed and tested a machine learning (ML) model to estimate ICP using waveforms from a cranial extensometer device (brain4care [B4C] System). The model explored multiple waveform parameters to optimize mean ICP estimation.
View Article and Find Full Text PDFLong-term reconstructed vegetation index dataset in China from fused MODIS and Landsat data.
Sci Data
January 2025
Institute of Carbon Neutrality, Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, 100091, China.
The vegetation index is a key satellite-based variable used to monitor global vegetation distribution and growth. However, existing vegetation index datasets face limitations in achieving both high spatial and temporal resolution, restricting their application potential. This study revised a machine learning spatiotemporal fusion model (InENVI) to produce a high-resolution NDVI dataset with 8-day temporal and 30 m spatial resolution, covering China from 2001 to 2020.
View Article and Find Full Text PDFDose measurements with the Pille-ISS thermoluminescent dosimeter system during extravehicular activities (2004-2022).
Life Sci Space Res (Amst)
February 2025
Institute of Biomedical Problems of the Russian Academy of Sciences, 76A Khoroshevskoye shosse, 123007, Moscow, Russian Federation.
One of the most problematic goals for radiation safety during spaceflight is an assessment of additional doses received by astronauts during extravehicular activity (EVA). The Pille-ISS thermoluminescent dosimeter developed by the predecessor of the Hungarian Research Network (HUN-REN) Centre for Energy Research (Budapest, Hungary) is designed for the routine dose measurements not only inside the spacecraft compartments, but also for personal dosimetric control for EVA. During almost two decades of the International Space Station (ISS) operation, the unique set of 131 EVA doses were recorded in different conditions, such as: solar activity, ISS trajectory along the South Atlantic Anomaly (SAA), and shielding conditions provided by two kinds of spacesuits: the Extravehicular Mobility Unit (EMU) and Orlan.
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