Quantitative comparative analyses of protein abundances using peptide ion intensities and their modifications have become a widely used technique in studying various biological questions. In the past years, several methods for quantitative proteomics were established using stable-isotope labeling and label-free approaches. We systematically evaluated the application of reference protein normali...

INTRODUCTION We sought to compare surgical outcomes between transperitoneal and retroperitoneal robotic partial nephrectomy (RPN) for posterior tumors. PATIENTS AND METHODS Using our multi-institutional RPN database, we reviewed 610 consecutive cases for posterior renal masses treated between 2007 and 2015. Primary outcomes were complications, operative time, length of stay (LOS), surgical ma...

OBJECTIVE • To establish its current status, this study reviews the literature, and reports developments in robotic-assisted partial nephrectomy (RPN), highlighting results from various studies that investigate the oncological and functional efficacy of RPN. Partial nephrectomy has become the standard therapy for the management of small renal masses. In an effort to overcome the perioperative m...

Our algorithm combines the Reverse Polish Notation (RPN) and expression tree algorithms it is a novel method for efficiently evaluating arithmetic expressions. The benefits of Expression Trees to provide practical efficient solution expressions in both infix postfix notation. first converts notation RPN, which then used construct an tree. evaluated using recursive function that traverses perfor...

Large-scale variations still pose a challenge in unconstrained face detection. To the best of our knowledge, no current face detection algorithm can detect a face as large as 800 × 800 pixels while simultaneously detecting another one as small as 8 × 8 pixels within a single image with equally high accuracy. We propose a two-stage cascaded face detection framework, Multi-Path Region-based Convo...