These findings indicate that berry extract inhibition of MRP-1 merits consideration and further investigation as a therapeutic intervention and may have application for other cancers with elevated MRP-1 activity. Antioxid. Redox Signal. 26, 1009-1019.

Accurate classifications of air-to-ground targets of interest is extremely important. Measured data is expensive and difficult to gather for training deep learning networks. By creating synthetic images that can train deep learning networks to classify measured images, the effort and money needed for training deep learning networks for target classification is greatly reduced. This effort addresses a key technical challenge associated with training a deep learning network by augmenting a limited set of measured data with synthetic Synthetic Aperture Radar (SAR) data to train a deep learning network to classify military tactical vehicles. To account for the differences between synthetic and measured SAR data, this effort performs extensive data augmentation using synthetic data to create target and background variability. The goal is to create variability in a physically realistic way so that high classification performance is achieved when training with synthetic data. In addition, architecture modifications are also investigated to assess their contribution to performance.

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Objective: There are limited data evaluating the impact of preoperative albumin levels in patients undergoing vascular procedures. This study evaluated the relationship of preoperative albumin levels with outcome after lower extremity (LE) vascular procedures for peripheral artery disease (PAD). Methods: Patients with PAD admitted for elective LE procedures between September 2008 and December 2015 were selected from the Cerner Health Facts database using International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis and procedure codes and preoperative laboratory values. Multivariable logistic regression was used to examine the association of patient characteristics, procedure type, and low preoperative albumin levels (<3.5 g/dL) with seven critical postoperative outcomes. Results: Of 4087 patients who underwent LE procedures for PAD, 1288 (31.5%) had preoperative albumin levels <3.5 g/dL. Lower albumin levels were associated with older patients, female patients, those with tissue loss, and black patients (P < .05). On average, compared with patients with normal preoperative albumin levels ($3.5 g/dL), patients with low preoperative albumin levels experienced longer hospital stays (6.1 vs 2.4 days; P < .0001); higher rates of postprocedure infection (24.5% vs 5.6%; P < .0001), in-hospital mortality (2.5% vs 0.3%; P < .0001), and 30day readmission (15.5% vs 13.1%; P ¼ .04); and more acute problems and complications. Multivariable logistic regression found that patients with low preoperative albumin levels were 2.6 times as likely to have an infectious complication (odds ratio [OR], 2.64; 95% confidence interval [CI], 2.10-3.32), 5.2 times as likely to die in the hospital (OR, 5.16; 95% CI, 2.34-11.39), and 2.4 times as likely to experience renal failure (OR, 2.47; 95% CI, 1.77-3.46) and cardiac complications (OR, 2.43; 95% CI, 1.66-3.57). Conclusions: LE procedures are performed for a variety of indications; the majority of these are not related to critical limb ischemia and are elective. In patients with low preoperative albumin levels, we strongly recommend deferring elective LE procedures for PAD, given the association with death and severe complications postoperatively. If LE procedures are necessary because of the severity of PAD, the role of preoperative nutritional optimization should be considered before intervention.

Objective: Most instructions for use of thoracic devices recommend a proximal landing zone (PLZ) length of at least 2 cm for successful thoracic endovascular aortic repair (TEVAR). In reality, however, because of the