Longer length of initial electronic health record training is strongly correlated with EHR satisfaction, KLAS research has shown. But 80% of newly-hired healthcare personnel are already experienced ...
As educational leaders with a combined experience of over 70 years, we have championed efforts to support collaboration for teachers while finding ourselves in a siloed and often lonely position of ...
Abstract: Optimizer-based meta-learning, specifically model-agnostic meta-learning (MAML), has emerged as a powerful tool for tackling the cold-start recommendation problem. In these ...
Three co-founders with experience across investment management for ultra-high-net-worth clients, alternative asset management and private banking have launched a New York-based registered investment ...
From Philly and the Pa. suburbs to South Jersey and Delaware, what would you like WHYY News to cover? Let us know! Kayla Banks graduated from Howard University in Washington, D.C. as an education ...
Welcome to the Steps to Leaps Learning Modules! Through these specifically designed sessions Boilermakers will find resources focused on enhancing and improving their holistic well-being. Steps to ...
Nowadays, digital literacy is no longer perceived as complementary skills, it has become a foundation for preparing the young generation to navigate the future, particularly amid the rapid digital ...
Indrani Dey is a PhD student in Learning Sciences at the University of Wisconsin-Madison, studying under Dr. Sadhana Puntambekar. At iSAT, she works with Dr. Puntambekar to investigate how students’ ...
Back to U.S. Army Southern European Task Force, Africa TUNIS, Tunisia – A controlled detonation shakes the ground as a cloud of smoke rises over the training range. For explosive ordnance disposal ...
Collaborative giving has surged over the past 10 years. Indeed, nearly half of the 300-plus collaborative funds—entities that pool or channel resources from multiple donors to nonprofits—that ...
Abstract: Deep learning-based methods for hyperspectral image super-resolution (SR) have achieved significant success in recent years. These methods typically consist of feature extraction module (FEM ...
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