The automated search software integrated with a scanning electron microscope (SEM/EDS) has been the standard tool for detecting inorganic gunshot residues (iGSR) for several decades. The detection of these particles depends on various factors such as collection, preservation, contamination with organic matter, and the method for sample analysis. This article focuses on the influence of equipment resolution setup on the backscattered electron images of the sample.
View Article and Find Full Text PDFIntroduction: Maintaining glycemic control during and after physical activity (PA) is a major challenge in type 1 diabetes (T1D). This study compared the glycemic variability and exercise-related diabetic management strategies of adults with T1D achieving higher and lower PA loads in nighttime-daytime and active- sedentary behavior hours in free-living conditions.
Research Design And Methods: Active adults (n=28) with T1D (ages: 35±10 years; diabetes duration: 21±11 years; body mass index: 24.
Aims: Sensor augmented insulin pumps have become a powerful tool for managing type 1 diabetes (T1D). This study aimed to analyze the insulin pump configuration in users of predictive insulin suspension technology (PLGS).
Methods: T1D patients on insulin pumps with PLGS (Medtronic 640G®) were enrolled.
Background And Aims: Recommended hypoglycemia treatment in adults with T1D consists of 15 g of rapid absorption carbohydrates. We aimed to evaluate the response to fewer carbohydrates for treating hypoglycemia in patients with T1D on insulin pumps with predictive suspension technology (PLGS).
Methods: T1D patients on insulin pumps with PLGS were randomized to receive 10 or 15 g of sucrose per hypoglycemia for two weeks (S10 and S15 groups, respectively) when capillary blood glucose (BG) was <70 mg/dL, with crossover after two weeks.
In this work, the postmortem interval is estimated by means of Bayesian inference using rectal temperature data from a published database. First, a systematic analysis of the uncertainties in each of the model parameters is carried out in order to assess their relative influences on the postmortem interval uncertainty. Then, the method is applied to the whole database and proves to be more reliable than the well-established nomogram method.
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