Qingdao Academy of Agricultural Sciences

An Explainable Educational Prediction Model Based on a Hierarchical Temporal Graph Network

Educational prediction aims to estimate future learning outcomes based on students’ historical records, course performance, and behavioral features. This task is challenging because learning processes contain both long-term trends and short-term fluctuations, educational data inv...

Predicting the future of battery lifetime and knee point ultra-early at the formation stage

Early lifetime prediction can accelerate lithium-ion battery development, support factory-side quality control, and reduce testing-related energy consumption. However, most existing methods rely on post-production cycling data and long test windows, limiting manufacturing scalabi...

Profiles of AI literacy and educational needs of nursing students: a mixed‑method study

Artificial intelligence (AI) is increasingly being integrated into healthcare. This integration provides new opportunities for nursing but also creates challenges. AI literacy is now regarded as an essential competency for nursing students. However, its levels are heterogeneous,...

FOXD3 Is Functionally Linked to NF-κB Signaling in KRAS G12C-Mutant NSCLC Cells

KRAS G12C mutation is a clinically relevant driver in non-small cell lung cancer (NSCLC), yet the signaling networks that modulate malignant behavior in this context remain incompletely defined. In this study, we examined the functional role of FOXD3 and its relationship with NF-...

A Gapless T2T Genome and Population-Scale Resequencing of Adzuki Bean Reveal Centromere Evolution and Accelerate Molecular Breeding

Abstract The adzuki bean (Vigna angularis) is an economically and nutritionally significant legume species. Using a multi-strategy sequencing approach, a gapless, telomere-to-telomere (T2T) genome assembly of an elite cultivar, Jihong 16 (JH16), was generated. The genome size was...