Learning Curve for Robotic Colorectal Surgery.

With the increasing adoption of robotic surgery in clinical practice, institutions intending to adopt this technology should understand the learning curve in order to develop strategies to help its surgeons and operating theater teams overcome it in a safe manner without compromising on patient care. Various statistical methods exist for the analysis of learning curves, of which a cumulative sum (CUSUM) analysis is more commonly described in the literature. Variables used for analysis can be classified into measures of the surgical process (e.

Recycling polyolefin plastic waste at short contact times via rapid joule heating.

The chemical deconstruction of polyolefins to fuels, lubricants, and waxes offers a promising strategy for mitigating their accumulation in landfills and the environment. Yet, achieving true recyclability of polyolefins into C-C monomers with high yields, low energy demand, and low carbon dioxide emissions under realistic polymer-to-catalyst ratios remains elusive. Here, we demonstrate a single-step electrified approach utilizing Rapid Joule Heating over an H-ZSM-5 catalyst to efficiently deconstruct polyolefin plastic waste into light olefins (C-C) in milliseconds, with high productivity at much higher polymer-to-catalyst ratio than prior work.

Robotic total colectomy and ileorectal anastomosis.

The benefits of minimally invasive approaches in colorectal surgery have been well demonstrated. However, some hesitancy remains with regards to the utilization of the robotic platform for total colectomies, mostly due to the perceived need for multiple re-dockings in multiquadrant surgery. This video aims to demonstrate how the robotic platform can be efficiently utilized in multiquadrant surgery without the need for multiple re-dockings, as well as some tips on how to overcome the potential challenges that may be encountered during this procedure.