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Matthew J. Gurka

Researcher at University of Florida

Publications -  225
Citations -  5950

Matthew J. Gurka is an academic researcher from University of Florida. The author has contributed to research in topics: Medicine & Metabolic syndrome. The author has an hindex of 38, co-authored 181 publications receiving 4785 citations. Previous affiliations of Matthew J. Gurka include University of Virginia & University of North Carolina at Chapel Hill.

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Bone Density and Metabolism in Children and Adolescents With Moderate to Severe Cerebral Palsy

TL;DR: Low BMD is prevalent in children with moderate to severe CP and is associated with significant fracture risk and stepwise regression analyses found that severity of neurologic impairment as graded by Gross Motor Functional Classification level, increasing difficulty feeding the child, use of anticonvulsants, and lower triceps skinfold z scores all independently contribute to lower BMD z scores in the femur.
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Emotional, Developmental, and Behavioral Health of American Children and Their Families: A Report From the 2003 National Survey of Children's Health

TL;DR: The most recent National Survey of Children's Health mirrored results of previous surveys regarding rates of diagnosed emotional, developmental, and behavioral problems, including an escalating diagnosis of autism among children.
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Developmental and Behavioral Comorbidities of Asthma in Children

TL;DR: The more severe the asthma is, the higher the rates are of these problems and Asthma treatment programs must acknowledge and address these comorbidities to achieve the best overall outcomes for children with this common chronic disease.
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Hemoglobin conformation couples erythrocyte S-nitrosothiol content to O2 gradients

TL;DR: In this article, the authors proposed that the bond between nitric oxide (NO) and the Hb thiol Cys-β93 (SNOHb) is favored when hemoglobin is in the relaxed (R, oxygenated) conformation, and that deoxygenation to tense (T) state destabilizes the SNOHb bond, allowing transfer of NO from Hb to form other (vasoactive) S-nitrosothiols (SNOs).
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Selecting the Best Linear Mixed Model Under REML

TL;DR: A simulation study as well as an application assisted in gaining an understanding of the performance of information criteria in selecting the best model when using REML estimation.