Injection of iodine to the stratosphere

We report a new estimation of the injection of iodine into the stratosphere based on novel daytime (solar zenith angle < 45°) aircraft observations in the tropical tropopause layer and a global atmospheric model with the most recent knowledge about iodine photochemistry. The results indicate that significant levels of total reactive iodine (0.25-0.7 parts per trillion by volume), between 2 and 5 times larger than the accepted upper limits, can be injected into the stratosphere via tropical convective outflow. At these iodine levels, modeled iodine catalytic cycles account for up to 30% of the contemporary ozone loss in the tropical lower stratosphere and can exert a stratospheric ozone depletion potential equivalent to, or even larger than, that of very short-lived bromocarbons. Therefore, we suggest that iodine sources and chemistry need to be considered in assessments of the historical and future evolution of the stratospheric ozone layer.Fil: Saiz López, Alfonso. Consejo Superior de Investigaciones Científicas. Instituto de Química Física; España. National Center For Atmospheric Research. Amospheric Chemistry División; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Baidar, S.. Cooperative Institute For Research In Environmental Science; Estados Unidos. State University of Colorado at Boulder; Estados UnidosFil: Cuevas, Carlos Alberto. Consejo Superior de Investigaciones Científicas. Instituto de Química Física; EspañaFil: Koening, T. K.. State University of Colorado at Boulder; Estados UnidosFil: Fernandez, Rafael Pedro. Consejo Superior de Investigaciones Científicas. Instituto de Química Física; España. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Dix, Barbara. State University of Colorado at Boulder; Estados UnidosFil: Douglas E. KINNISON. National Center For Atmospheric Research. Amospheric Chemistry División; Estados UnidosFil: Jean-Francoise LAMARQUE. National Center For Atmospheric Research. Amospheric Chemistry División; Estados UnidosFil: Xavier Rodriguez-Lloeveras. Consejo Superior de Investigaciones Científicas. Instituto de Química Física; EspañaFil: Campos, T.L.. National Center For Atmospheric Research. Amospheric Chemistry División; Estados UnidosFil: Volkamer, Rainer. Cooperative Institute For Research In Environmental Science; Estados Unidos. State University of Colorado at Boulder; Estados Unido

Development of a novel classification system for anatomical variants of the puboprostatic ligaments with expert validation

Introduction: We propose a novel classification system with a validation study to help clinicians identify and typify commonly seen variants of the puboprostatic ligaments (PPL). Methods: A preliminary dissection of 6 male cadavers and a prospective dataset of over 300 robotic-assisted laparoscopic radical prostatectomies (RARP) recorded on video were used to identify 4 distinct ligament types. Then the prospectively collected database of surgical videos was used to isolate images of the PPL from RARP. Over 300 surgical videos were reviewed and classified with 1 to 5 pictures saved for reference of the type of PPL. To validate the new classification system, we selected 5 independent, blinded expert robotic surgeons to classify 100 ligaments based on morphology into a 4-type system: parallel, V-shaped, inverted V-shape, and fused. One week later, a subset of 25 photographs was sent to the same experts and classified. Statistical analyses were performed to determine both the intra-rater and inter-rater reliability of the proposed system. Results: Inverted V-shaped ligaments were noted most frequently (29.97%), parallel and V-shaped ligaments were found at 19.19% and 11.11%, respectively and fused ligaments were noted less frequently (6.06%). There was good intra-rater agreement (ê = 0.66) and inter-rater agreement (ê = 0.67) for the classification system. Conclusions: This classification system provided standardized descriptions of ligament variations that could be adopted universally to help clinicians categorize the variants. The system, validated by several blinded expert surgeons, demonstrated that surgeons were able to learn and correctly classify the variants. The system may be useful in helping to predict peri- and postoperative outcomes; however, this will require further study