@pandalist81
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Grau Mccray posted an update 5 months, 4 weeks ago
l and a refined parameter study was conducted by means of optimal interpolation. The thus found optimal parameters were verified by simulation with the finite element model. Optimal interpolation is computationally cheap, which allowed full factorial experiments at low cost.The vast majority of clinical skills teaching at our medical school in…[Read more]
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Grau Mccray posted an update 6 months ago
In this work, we present a dataset containing a collection of pictures taken during the fieldwork of a farmland abandonment study. Data was taken in 2010 with a compact camera that incorporates GPS and a digital compass sensor. The photographs were taken as part of a GIS database. Using their Exif metadata, we created a layer of geographic fields…[Read more]
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Grau Mccray posted an update 6 months ago
Beginning in May 2016, an 83-year-old male underwent three transurethral resections for recurrent bladder cancer. In June 2017, following a positive urine cytology exam, a random biopsy of the bladder was performed. The histopathological findings revealed urothelial carcinoma, high grade, pTis. Treatment consisted of bacillus Calmette-Guerin (BCG)…[Read more]
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Grau Mccray posted an update 6 months ago
7%), and intermediate or high doses of anticoagulants (83.5%). The most frequent complications were ICU-acquired infection (52.6%), thrombosis events (16.5%), and reintubation (9.3%). After a median follow-up of 42 (34-45) days, 15 patients (15.5%) deceased, 73 patients (75.2%) had been discharged from ICU, and nine patients (9.3%) were still in…[Read more]
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Grau Mccray posted an update 6 months ago
Cardiac pacemakers have improved patient survival and quality of life, although malfunctions can be seen. We present the case of a girl with Seckel syndrome and congenital complete heart block. She had a single chamber permanent pacemaker in the right ventricle. When she referred us with a pulmonary hypertensive crisis (PHC), it was seen that the…[Read more]
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Grau Mccray posted an update 6 months, 1 week ago
The random forest algorithm selected the homeostatic model assessment-estimated insulin resistance, insulin levels, and body mass index as the most important factors, which in combination with KNN had an accuracy of 99% with a sensitivity of 99% and specificity of 97%. We built a prognostic model that accurately identified obese, hypertensive…[Read more]
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Grau Mccray became a registered member 6 months, 1 week ago