A Combined "Vasculoplastic" Approach to the Vasculopathic Patient Undergoing Limb Salvage: Understanding the Role of Endovascular Revascularization for Lower Extremity Free Tissue Transfer.

Background:  Multidisciplinary care with vascular surgery and plastic surgery is essential for lower extremity free flap (LEFF) success in the chronic wound population with diabetes and peripheral vascular disease. There is a lack of understanding on performing targeted direct endovascular reperfusion on a vessel that will be used as the flap recipient. Our study compares outcomes of patients who received targeted revascularization (TR) to the recipient vessel for LEFF anastomosis versus nontargeted revascularization (NR) of arterial recipients prior to LEFF.

"The problem is not detection, it is treatment": Exploring Why Women Needing Pre-Cervical Cancer Care are Lost to Follow-Up at the Hospital in Iquitos, Peru.

Background: The objective of this study was to investigate the barriers to follow-up of women with cervical lesions suspicious of cancer who were ineligible for primary-level treatment and needed, but did not receive, hospital-level care in Loreto, Peru.

Methods: In-depth, semi-structured interviews were conducted with 18 HPV-positive women requiring hospital-level follow-up care for cervical lesions suspicious of cancer but for whom there was no documentation of completion of treatment. After thematically analyzing these patient interviews, interview findings were presented to seven doctors and five nurse-midwives at both the hospital and the primary levels for comments and suggestions regarding barriers to treatment.

Large language models (LLMs) as agents for augmented democracy.

We explore an augmented democracy system built on off-the-shelf large language models (LLMs) fine-tuned to augment data on citizens' preferences elicited over policies extracted from the government programmes of the two main candidates of Brazil's 2022 presidential election. We use a train-test cross-validation set-up to estimate the accuracy with which the LLMs predict both: a subject's individual political choices and the aggregate preferences of the full sample of participants. At the individual level, we find that LLMs predict out of sample preferences more accurately than a 'bundle rule', which would assume that citizens always vote for the proposals of the candidate aligned with their self-reported political orientation.

Predictive Indicators of Cryotolerance and Fertility in Bovine Sperm: Evaluating Fresh Semen Quality to Improve AI Outcomes With Frozen-Thawed Sperm.

The success of artificial insemination (AI) with frozen-thawed semen in cattle is influenced by both female factors and sperm quality. In terms of sperm quality, prior studies indicate that the ability of frozen-thawed bovine sperm to fertilise an oocyte is dependent on their quality and resilience to cryopreservation. Cryopreservation induces oxidative stress, leading to ultrastructural damage in the sperm.