Major Choices: Students' Personal Intelligence, Considerations When Choosing a Major, and Academic Success. [PDF]
Sylaska K, Mayer JD.
europepmc +1 more source
The Democratization of Academic Success
openaire +1 more source
A low‐cost, self‐driving laboratory is developed to democratize autonomous materials discovery. Using this "frugal twin" hardware architecture with Bayesian optimization, the platform rapidly converges to target lower critical solution temperature (LCST) values while self‐correcting from off‐target experiments, demonstrating an accessible route to data‐
Guoyue Xu, Renzheng Zhang, Tengfei Luo
wiley +1 more source
Invisible disabilities and college academic success: New evidence from a mediation analysis. [PDF]
Myers A, Halpern-Manners A, McLeod JD.
europepmc +1 more source
LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?
A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler +7 more
wiley +1 more source
Harnessing the power of social media: transforming nursing education for unmatched academic success. [PDF]
Erden Y, Aydın Kahraman H, Çiftçi B.
europepmc +1 more source
Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser +6 more
wiley +1 more source
Symptoms of ADHD and Other Common Mental Disorders Influence Academic Success in South African Undergraduates. [PDF]
Mohamad N +4 more
europepmc +1 more source
Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez +4 more
wiley +1 more source
Is medical school culture conducive to women's academic success? a survey on faculty perceptions and experiences of gender equity. [PDF]
Shorey S +3 more
europepmc +1 more source

