Results 201 to 210 of about 404,963 (284)
Abstract Embedding intersectional equity, diversity, and inclusion (EDI) in anatomy education is essential to reflect the growing diversity of student populations, support all learners, and prepare graduates for a more inclusive, socially responsive global workforce.
Michelle Welsh, Ourania Varsou
wiley +1 more source
Hyper-MDR: An open-world multimodal reasoning framework based on dynamic hypergraph and meta-strategy optimization. [PDF]
Shi J, Huang X, Yuan L.
europepmc +1 more source
The graphic summarizes the proposed shift from image recognition to morphological reasoning through an iterative process of observation, description, interpretation, integration, and questioning across anatomical, histological, and ultrastructural scales.
Katia Cortese
wiley +1 more source
Higher-Order Logical Reasoning in Preschool Children: Evidence from Intonation and Quantifier Scope. [PDF]
Sauerland U, Sugawara A, Yatsushiro K.
europepmc +1 more source
Our custom workflow creates anatomically accurate and diverse 3D skull models. Precise sex‐specific anatomical detail is ensured by CT‐based segmentation. Our models capture anatomical variations and pathologies. Our cost‐effective 3D printing workflow enhances model durability and fidelity.
Marina Moser +5 more
wiley +1 more source
Dual contrastive learning-based reconstruction for anomaly detection in attributed networks. [PDF]
Rafieizadeh H +3 more
europepmc +1 more source
Abstract Body donor memorial ceremonies are increasingly used in anatomy education to promote respect for donors, ethical awareness, and humanistic values. Evidence on students' perceptions of such ceremonies in Türkiye, however, remains limited. This study examined medical students' reflections on the first body donor memorial ceremony held at Kocaeli
Ayla Tekin +3 more
wiley +1 more source
A hybrid contrastive graph neural network framework for fake news and hate speech detection using content and user interaction signals. [PDF]
Nivedita VS, Banu AB.
europepmc +1 more source
ChatGPT for complex text evaluation tasks
Abstract ChatGPT and other large language models (LLMs) have been successful at natural and computer language processing tasks with varying degrees of complexity. This brief communication summarizes the lessons learned from a series of investigations into its use for the complex text analysis task of research quality evaluation.
Mike Thelwall
wiley +1 more source
Automatic sentence simplification system for Arabic Script Punjabi. [PDF]
Shehzad T +4 more
europepmc +1 more source

