Publications by authors named "J L Brugman"

Complex network theory crucially depends on the assumptions made about the degree distribution, while fitting degree distributions to network data is challenging, in particular for scale-free networks with power-law degrees. We present a robust assessment of complex networks that does not depend on the entire degree distribution, but only on its mean, range, and dispersion: summary statistics that are easy to obtain for most real-world networks. By solving several semi-infinite linear programs, we obtain tight (the sharpest possible) bounds for correlation and clustering measures, for all networks with degree distributions that share the same summary statistics.

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This study describes the current landscape of physical therapy practice recommendations in the United States for children with spinal muscular atrophy (SMA) and their relationship to current SMA standard of care (SMA-SOC) guidelines. Pediatric physical therapists were surveyed to determine their knowledge of SMA-SOC guidelines, and the type, duration and frequency of intervention they recommend for children with SMA, as well as perceived barriers and facilitators to progress in physical therapy. Physical therapists recommend five key intervention areas for individuals with SMA; however discrepancies exist between the SOC recommended intervention parameters and respondents' reported frequency and duration of recommendations.

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Although squamous cell carcinoma accounts for the overwhelming majority of head and neck malignant neoplasms, extranodal follicular dendritic cell sarcoma (FDCS) of the pharyngeal region can have a similar clinical presentation. The histopathological features of this rare entity have been described and emphasised in the literature. We present the case of a 65-year-old male patient with FDCS of the tonsil to illustrate the radiologic findings of FDCS and also highlight this infrequent but salient differential diagnosis for adult head and neck neoplasia.

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Introduction: A computed tomography (CT) brain scan is an often-utilised emergency department imaging modality to detect emergent intra-cranial pathology in a child with a first seizure. Identifying children at low risk of having a clinically significant intra-cranial abnormality could prevent unnecessary radiation exposure and contrast/sedation-related risks.

Objectives: To identify clinical variables which could predict clinically significant CT brain abnormalities and use recursive partitioning analysis to define a low-risk group of children in whom emergent CT brain can be deferred.

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