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1.
Sci Rep ; 14(1): 3396, 2024 Feb 09.
Article in English | MEDLINE | ID: mdl-38336873

ABSTRACT

The stochastic synthesis of extreme, rare climate scenarios is vital for risk and resilience models aware of climate change, directly impacting society in different sectors. However, creating high-quality variations of under-represented samples remains a challenge for several generative models. This paper investigates quantizing reconstruction losses for helping variational autoencoders (VAE) better synthesize extreme weather fields from conventional historical training sets. Building on the classical VAE formulation using reconstruction and latent space regularization losses, we propose various histogram-based penalties to the reconstruction loss that explicitly reinforces the model to synthesize under-represented values better. We evaluate our work using precipitation weather fields, where models usually strive to synthesize well extreme precipitation samples. We demonstrate that bringing histogram awareness to the reconstruction loss improves standard VAE performance substantially, especially for extreme weather events.

2.
J Prof Nurs ; 40: 28-33, 2022.
Article in English | MEDLINE | ID: mdl-35568455

ABSTRACT

Academic nursing programs were impacted by the onset of the pandemic with the challenges of social distancing, detecting, and controlling the spread of the virus. Many traditionally campus-based, face-to-face programs transitioned quickly to include virtual activities for classes, laboratories, and clinical experiences for students. Initially direct patient care clinical activities came to a halt due to concerns for student safety and overwhelming numbers of COVID-19 cases stressing health system resources. However, as COVID-19 cases began to rise and hospitals struggled with staffing shortages, it became necessary to explore how nursing students could contribute to relieving the staffing burden while obtaining critical education as RN Extenders. Students that participated in the RN Extender program were seniors entering the nursing workforce within the next two months. Significant student screening and preparation was provided to support students serving as RN Extenders in COVID-19 units. The prior working relationships and personal contact between academic and practice leaders, a sense of equal participation, clear and realistic expectations of the benefits and responsibilities of each group were crucial. Building ongoing and frequent opportunities for formal and informal communication among all stakeholders was vital and the major contributor to the success of this program.


Subject(s)
COVID-19 , Education, Nursing, Baccalaureate , Students, Nursing , Educational Status , Humans , Workforce
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