OBJECTIVEThe study objective was to evaluate how the use of a pervasive blood glucose monitoring (BGM) technology relates to glycemic control, report of self-care behavior, and emotional response to BGM of children with type 1 diabetes and their parents.RESEARCH DESIGN AND METHODSForty-eight children aged less than 12 years (mean 8.8 years) with type 1 diabetes were randomly assigned to one of two study groups, a control group (conventional care without technology) or an experimental group (conventional care with technology), and followed for 12 months. Families in the experimental group were given the Automated Diabetes Management System (ADMS), which automatically collects blood glucose (BG) values and sends to parent(s) a 21-day BG trending report via e-mail each night. Measures of glycemic control (HbA1c) were collected at baseline and at quarterly diabetes clinic visits; BGM effect and diabetes self-care behavior measures were obtained at the baseline, 6-month, and 12-month visits.RESULTSChildren in the experimental group had significantly (P = 0.01) lower HbA1c at 12 months (7.44 ± 0.94, −0.35 from baseline) than controls (8.31 ± 1.24, +0.15 from baseline). Improvement in HbA1c was more profound in families using the ADMS more frequently. In addition, in these families, parents showed a significant improvement in BGM effect (P = 0.03) and children became more meticulous in diabetes self-care (P = 0.04). Children in both experimental and control groups experienced no change in their emotional response to BGM.CONCLUSIONSUsing the ADMS 1–3 times/week may help children with type 1 diabetes improve glycemic control and gain diabetes self-management skills, as well as improve the BGM effect of parents.
NIST policy is to use the International System of Units (SI) in all publications. However, in this document, units are presented in the system prevalent in the relevant discipline, although in some cases more than one system of units may be presented.
A new approach to characterize airborne firebrands during Wildland-Urban Interface (WUI) fires is detailed. The approach merges the following two imaging techniques in a single field-deployable diagnostic tool: (1) 3D Particle Tracking Velocimetry (3D-PTV), for timeresolved mapping of firebrand 3D trajectories, and (2) 3D Particle Shape Reconstruction (3D-PSR), to reconstruct 3D models of individual particles following the Visual Hull principle. This tool offers for the first time the possibility to simultaneously study time-resolved firebrand fluxes and firebrand size distribution to the full extent of their three-dimensional nature. Methodologies used in the present work are presented and their technical implementation are thoroughly discussed. Validation tests to confirm proper tracking/sizing of particles are detailed. The diagnostic tool is applied to a firebrand shower artificially generated at the NIST National Fire Research Laboratory. A novel graphic representation, that incorporates both the Cumulative Particle Count (CPC, particles m -2 ) and Particle Number Flux (PNF, particles m -2 s -1 ) as relevant exposure metrics, is presented and the exposure level is compared to that of an actual outdoor fire. Size distributions obtained for airborne firebrands are compared to those achieved through ground collection and strategies to improve the particle shape reconstruction method are discussed.
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