Objective assessment of activity via accelerometry can provide valuable insights into dog health and welfare. Common activity metrics involve using acceleration cut-points to group data into intensity categories and reporting the time spent in each category. Lack of consistency and transparency in cut-point derivation makes it difficult to compare findings between studies. We present an alternative metric for use in dogs: the acceleration threshold (as a fraction of standard gravity, 1 g = 9.81 m/s) above which the animal's X most active minutes are accumulated (MX) over a 24-hour period. We report M2 M30 and M60 data from a colony of healthy beagles ( = 6) aged 3-13 months. To ensure that reference values are applicable across a wider dog population, we incorporated labelled data from beagles and volunteer pet dogs ( = 16) of a variety of ages and breeds. The dogs' normal activity patterns were recorded at 200 Hz for 24 hours using collar-based Axivity-AX3 accelerometers. We calculated acceleration vector magnitude and MX metrics. Using labelled data from both beagles and pet dogs, we characterize the range of acceleration outputs exhibited enabling meaningful interpretation of MX. These metrics will help standardize measurement of canine activity and serve as outcome measures for veterinary and translational research.
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http://dx.doi.org/10.1098/rsos.240119 | DOI Listing |
Anal Chem
January 2025
Institute for Advanced Optics, Hunan Institute of Science and Technology, Yueyang, Hunan 414006, China.
Diffraction imaging of cells allows rapid phenotyping by the response of intracellular molecules to coherent illumination. However, its ability to distinguish numerous types of human leukocytes remains to be investigated. Here, we show that accurate classification of three lymphocyte subtypes can be achieved with features extracted from cross-polarized diffraction image (p-DI) pairs.
View Article and Find Full Text PDFRheumatology (Oxford)
January 2025
Amgen Inc, Thousand Oaks, CA, USA.
Objectives: Long-term maintenance of serum urate (SU) levels <6 mg/dl reduces gout flare frequency. However, urate-lowering therapy (ULT) initiation can induce gout flare. The incidence of thromboembolic (TE) and cardiovascular (CV) events has been shown to increase in the 30 and 120 days following gout flare, respectively; therefore, the question of ULT initiation increasing patient risk for CV/TE events has been raised.
View Article and Find Full Text PDFMed Image Comput Comput Assist Interv
October 2024
Department of Biomedical Engineering, Yale University, New Haven, CT, USA.
Recent advancements in Contrastive Language-Image Pre-training (CLIP) [21] have demonstrated notable success in self-supervised representation learning across various tasks. However, the existing CLIP-like approaches often demand extensive GPU resources and prolonged training times due to the considerable size of the model and dataset, making them poor for medical applications, in which large datasets are not always common. Meanwhile, the language model prompts are mainly manually derived from labels tied to images, potentially overlooking the richness of information within training samples.
View Article and Find Full Text PDFIndian J Nucl Med
November 2024
Department of Nuclear Medicine and Molecular Imaging, Homi Bhabha Cancer Hospital & Mahamana Pandit Madan Mohan Malaviya Cancer Centre, Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Varanasi, India.
Background: The introduction of positron emission tomography/computed tomography (PET/CT) has significantly advanced medical imaging. In oncology, F-fluorodeoxyglucose (F-FDG) PET/CT is particularly crucial for staging, evaluating treatment response, monitoring follow-up, and planning radiotherapy. However, in resource limiting hospitals, the availability of fluorine-labeled F-FDG limits optimal scan acquisition.
View Article and Find Full Text PDFData Brief
February 2025
Federal University of Maranhão. Av. dos Portugueses, 1966 São Luís, Maranhão, Brazil.
Digital transformation has significantly impacted public procurement, improving operational efficiency, transparency, and competition. This transformation has allowed the automation of data analysis and oversight in public administration. Public procurement involves various stages and generates a multitude of documents.
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