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Implication Statement The Psychiatry Information Card (PIC) offers a practical, structured concise resource to enhance medical students' confidence, knowledge, and self-reflection during psychiatry rotations. Its utility lies in providing targeted support for students navigating the transition from classroom learning to clinical practice, and addressing specific challenges encountered during this critical phase of medical education. By offering accessible and relevant information aligned with rotation objectives, the PIC increased knowledge pre and post rotation, and enhanced the learning experience.

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We are a family! Exploring flexitarian households' meat reduction practices.

Appetite

January 2025

Food Quality and Design Group, Department of Agrotechnology and Food Sciences, Wageningen University & Research, P.O. Box 17, Bornse Weilanden 9, 6708 WG, Wageningen, the Netherlands.

It is widely accepted that the (over)consumption of meat is negatively linked to environmental problems and public health issues, yet research shows that actual meat consumption remains (too) high. While most research related to the protein transition focuses on consumers' motivations, perceptions and acceptance towards plant-based meat alternatives, a clear need arises to extensively study the context in which (plant-based) meals are consumed. In this research, a generative research approach was applied to extend knowledge on flexitarian households' meat reduction practices.

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Hot-exciton materials, among all kinds of organic light-emitting diode (OLED) emitters, have better exciton utilization efficiency and efficiency roll-off, making them possible for their practical applications. We studied the photophysical properties of a few hot-exciton molecules based on an anthracene core unit to efficiently harvest all triplet excitons to the lowest excited singlet state. The conversion of triplet exciton to singlet exciton utilizing hRISC can be enhanced due to the 1ππ*←3nπ* transition channel.

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Artificial intelligence (AI) is increasingly used in many medical specialties. However, nephrology has lagged in adopting and incorporating machine learning techniques. Nephrology is well positioned to capitalize on the benefits of AI.

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