A Prediction Model Using Machine Learning Algorithm for Assessing Stone-Free Status after Single Session Shock Wave Lithotripsy to Treat Ureteral Stones.

Purpose: The aim of this study was to develop and validate a decision support model using a machine learning algorithm to predict treatment success after single session shock wave lithotripsy in ureteral stone cases.

Materials And Methods: Of the 1,803 patients treated with shock wave lithotripsy we selected those with ureteral stones who had preoperative computerized tomography available. Treatment success after single session shock wave lithotripsy was defined as freedom from stones or residual stone fragments less than 2 mm long on computerized tomography or plain x-ray of the kidneys, ureters and bladder 2 weeks later.

Polarity-inverted lateral overgrowth and selective wet-etching and regrowth (PILOSWER) of GaN.

On an SiO-patterned c-plane sapphire substrate, GaN domains were grown with their polarity controlled in accordance with the pattern. While N-polar GaN was grown on hexagonally arranged circular openings, Ga-polar GaN was laterally overgrown on mask regions due to polarity inversion occurring at the boundary of the circular openings. After etching of N-polar GaN on the circular openings by HPO, this template was coated with 40-nm Si by sputtering and was slightly etched by KOH.

Temporal trends in the misdiagnosis rates between Crohn's disease and intestinal tuberculosis.

Aim: To investigate the temporal trends in the misdiagnosis rate between Crohn's disease (CD) and intestinal tuberculosis (ITB) in South Korea.

Methods: We retrospectively reviewed the medical records of patients managed for CD or ITB at Asan Medical Center, a tertiary referral hospital, Seoul, Korea between 1996 and 2014. The temporal trends in the misdiagnosis rates between the two diseases were analyzed.

Relationship between structural composition and material properties of polymorphic hIAPP fibrils.

Amyloid proteins are misfolded, denatured proteins that are responsible for causing several degenerative and neuro-degenerative diseases. Determining the mechanical stability of these amyloids is crucial for understanding the disease mechanisms, which will guide us in treatment. Furthermore, many research groups recognized amyloid proteins as functional biological materials that can be used in nanosensors, bacterial biofilms, coatings, etc.

The characteristics of ulcerative colitis associated with autoimmune pancreatitis.

Goals: To determine the prevalence of ulcerative colitis (UC) in autoimmune pancreatitis (AIP) patients in a tertiary referral hospital and to compare the clinical and pathologic characteristics and outcomes of UC associated with AIP (AIP-UC) and UC patients.

Background: Recently, it was suggested that UC is associated with AIP. However, the prevalence of UC in AIP, together with the clinical characteristics and outcomes of AIP-UC are not clear.