Celebrity as Catalyst: Connecting Leadership Development to pop Culture.

Pop culture has served as a catalyst for leadership development, both creating and manufacturing culture while also creating the parameters for us to understand culture in a public context. While pop culture has influenced how people engage with leadership development across contexts, celebrities have been the manifestation of pop culture throughout history. Through the influences of socialization and the evolution of pop culture, the field of leadership development has been impacted in a myriad of ways.

Incidental Mucinous Neoplasms of the Pancreas: Performance of the AGA, European, and IAP Guidelines in Advising Further Management after Endoscopic ultrasound-guided fine-needle Aspiration Biopsy.

Objectives: We compared the performance of AGA-2015, ESG-2018, and IAP-2024 guidelines in referring patients for surgery versus surveillance when applied to incidental after diagnosis by EUS-FNA.

Methods: Single-center, retrospective study with prospective data collection. PLs identified incidentally on CT or MRI/MRCP performed for other diseases with inconclusive imaging results were eligible for analysis.

Machine Learning Algorithms in Controlled Donation After Circulatory Death Under Normothermic Regional Perfusion: A Graft Survival Prediction Model.

Background: Several scores have been developed to stratify the risk of graft loss in controlled donation after circulatory death (cDCD). However, their performance is unsatisfactory in the Spanish population, where most cDCD livers are recovered using normothermic regional perfusion (NRP). Consequently, we explored the role of different machine learning-based classifiers as predictive models for graft survival.

Feed additives for methane mitigation: Recommendations for testing enteric methane-mitigating feed additives in ruminant studies.

There is a need for rigorous and scientifically-based testing standards for existing and new enteric methane mitigation technologies, including antimethanogenic feed additives (AMFA). The current review provides guidelines for conducting and analyzing data from experiments with ruminants intended to test the antimethanogenic and production effects of feed additives. Recommendations include study design and statistical analysis of the data, dietary effects, associative effect of AMFA with other mitigation strategies, appropriate methods for measuring methane emissions, production and physiological responses to AMFA, and their effects on animal health and product quality.