The advantages of non-uniform sampling (NUS) in offering time savings and resolution enhancement in NMR experiments have been increasingly recognized. The possibility of sensitivity gain by NUS has also been demonstrated. Application of NUS to multidimensional NMR experiments requires the selection of a sampling scheme and a reconstruction scheme to generate uniformly sampled time domain data. In this report, an efficient reconstruction scheme is presented and used to evaluate a range of regularization algorithms that collectively yield a generalized solution to processing NUS data in multidimensional NMR experiments. We compare l1-norm (L1), iterative re-weighted l1-norm (IRL1), and Gaussian smoothed l0-norm (Gaussian-SL0) regularization for processing multidimensional NUS NMR data. Based on the reconstruction of different multidimensional NUS NMR data sets, L1 is demonstrated to be a fast and accurate reconstruction method for both quantitative, high dynamic range applications (e.g. NOESY) and for all J-coupled correlation experiments. Compared to L1, both IRL1 and Gaussian-SL0 are shown to produce slightly higher quality reconstructions with improved linearity in peak intensities, albeit with a computational cost. Finally, a generalized processing system, NESTA-NMR, is described that utilizes a fast and accurate first-order gradient descent algorithm (NESTA) recently developed in the compressed sensing field. NESTA-NMR incorporates L1, IRL1, and Gaussian-SL0 regularization. NESTA-NMR is demonstrated to provide an efficient, streamlined approach to handling all types of multidimensional NMR data using proteins ranging in size from 8 to 32 kDa.

Objective To assess the quality and accuracy of online videos about the medical management of nephrolithiasis. Materials and Methods To evaluate trends in online interest, we first examined the frequency of worldwide YouTube searches for ‘kidney stones’ from 2015 to 2020. We then queried YouTube with terms related to symptoms and treatment of kidney stones and analysed English‐language videos with >5000 views. Quality was assessed using the validated DISCERN instrument. Evidence‐based content analysis of video content and viewer comments was performed. Results Online searches for videos about kidney stones doubled between 2015 and 2019 (P < 0.001). We analysed 102 videos with a median (range) number of views of 46 539 (5024–3 631 322). The mean (sd) DISCERN score was 3.0 (1.4) out of 5, indicating ‘moderate’ quality; scores were significantly higher for the 21 videos (21%) authored by academic hospitals (mean 3.7 vs 2.8, P = 0.02). Inaccurate or non‐evidence‐based claims were identified in 23 videos (23%); none of the videos authored by academic institutions contained inaccurate claims. Videos with inaccurate statements had more than double the viewer engagement (viewer‐generated comments, ‘thumbs up’ and ‘thumbs down’ ratings) compared to videos without inaccuracies (P < 0.001). Among viewer comments, 43 videos (43%) included comments with inaccurate or non‐evidence‐based claims, and a large majority (82 videos, 80%) had ‘chatbot’ recommendations. Conclusions Interest in YouTube videos about nephrolithiasis has doubled since 2015. While highly viewed videos vary widely in quality and accuracy, videos produced by academic hospitals have significantly fewer inaccurate claims. Given the high prevalence of stone disease and poor‐quality videos, patients should be directed to evidence‐based content online.

Purpose of Review In light of the announcement that the United States Medical Licensing Examination Step 1 exam will transition to pass/fail reporting, we reviewed recent literature on evaluating residency applicants with a focus on identifying objective measurements of applicant potential. Recent Findings References from attending urologists, Step 1 scores, overall academic performance, and research publications are among the most important criteria used to assess applicants. There has been a substantial increase in the average number of applications submitted per applicant, with both applicants and residency directors indicating support for a cap on the number of applications that may be submitted. Additionally, there are increasing efforts to promote diversity with the goal of improving care and representation in urology. Despite progress in standardizing interview protocols, inappropriate questioning remains an issue. Summary Opportunities to improve residency application include promoting diversity, enforcing prohibitions of illegal practices, limiting application numbers, and finding more transparent and equitable screening measures to replace Step 1.