Reimer Svensson (skillpoint1)

8 % for precision were obtained. For aortic root detection, the average difference between the positions marked by the experts and those detected by the computer was 5.7 ± 7.3 mm. Finally, diameters and lengths of the aorta were measured at different locations related to the extracted landmarks. Those measurements agreed with the values reported by the literature. Graphical abstract Schematic description of the proposed algorithm. The input includes an already segmented aorta (left), there are two main sub-processes related to the detection of branches and roots (center), and the output includes the segmented original aorta with the branches and the detected landmarks superimposed (right).Second language writing researchers have examined the affordances of Automated Writing Evaluation programs in providing immediate feedback that helps improve students' writing outputs. However, a little is known about tracking learners' process during writing essays and whether much/less pauses made by learners could predict good/poor quality of students' writing output. This article aims to address this issue by recording a case study of 8 postgraduate students' pauses during writing two types of text genre; descriptive and argumentative essays. Their pauses have been recorded using Keystroke logging program-Input Log 7.0 (Leijten and Van Waes in Writ Commun 30358-392, 2013. https//doi.org/10.1177/0741088313491692) and their screen activities were captured by Active Presenter program. Findings revealed that the students' pauses were significantly higher in word boundary than in sentence and/or paragraph boundaries. Moreover, on word boundary, pauses before words were significantly higher than that after words for both types of text genre. Concerning pauses across text genre, students' pauses were significantly higher in the argumentative essay than that of the descriptive essay. Multiple regression revealed negative correlation between much pauses and poor quality of students' product in the descriptive essay while there was no correlation found in the argumentative essay.INTRODUCTION Management of post-transplant diabetes mellitus is challenging; there is a lack of prospective randomized controlled trials for safety and efficacy of antidiabetic medications in solid organ recipients. Glucagon-like peptide 1 receptor agonists (GLP-1RA) are a relatively new class of medications used to manage type 2 diabetes in the general population. They have several benefits besides glycemic control, including weight loss and improved cardiovascular risk. selleck compound However, they have not been studied extensively in the post-transplant population for safety and efficacy. METHODS We conducted a retrospective study of patients who had received kidney, liver, or heart transplant, had diabetes either pre- or post-transplant, and were treated with GLP-1RA. We identified seven kidney, seven liver, and five heart transplant recipients who had received GLP-1RA. We assessed changes in immunosuppressant levels, rejection episodes, changes in hemoglobin A1c (HbA1c), weight, and body mass index (BMI) while on the GLP-1RA. We also looked at changes in insulin dose, other diabetes medications, heart rate, blood pressure, and renal function. RESULTS After a mean follow-up period of 12 months, there were no significant changes in tacrolimus (FK506) levels and renal function for the period of GLP-1RA use. At the end of 12 months, the mean drop in weight was 4.86 kg [95% CI - 7.79, - 1.93]. The BMI decreased by a mean of 1.63 kg/m2 at the end of 12 months [95% CI - 2.53, - 0.73]. HbA1c decreased from baseline by 1.08% [95% CI - 1.65, - 0.51], 0.96% [95% CI - 1.68, - 0.25], and 0.75% [95% CI - 1.55, 0.05] at 3, 6, and 12 months, respectively. CONCLUSIONS Our data suggest that GLP-1RA do not affect tacrolimus levels or transplant outcomes in solid organ transplant (SOT) recipients in the short term. GLP-1RA also seem to be