Hebei Normal University

Rapid screening and taste mechanism investigation of novel umami peptides from krill using combined virtual and actual enzymatic hydrolysis

Abstract To enhance the utilization value of krill, this study investigated umami peptides in krill using cutting-edge techniques, including virtual proteolysis combined with actual enzymatic hydrolysis, machine learning models, molecular docking, and molecular dynamics simulatio...

Enhancing adult lifelong learning through data fusion algorithms and quality assurance

This study presents a Data Fusion + Random Forest (RF) framework to predict adult learners’ educational outcomes, such as dropout risk and course completion. Adult lifelong learning is crucial for personal and professional growth, but challenges like high dropout rates and low en...

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...

Fine mapping and candidate gene analysis of qKnps-2A for kernel number per spike in wheat

Abstract Background Kernel number per spike (KNPS) is a crucial determinant of wheat yield. Previous studies identified qKnps-2A as a major stable QTL for KNPS on chromosome 2A using a recombinant inbred line (RIL) population derived from a cross between the semi-winter wheat cul...

Analytical and symbolic characterization of nonlinear dynamics for a class of energy supply demand system versus time delay

This paper investigates the nonlinear dynamic behavior of a three-dimensional energy supply–demand system with government regulation and time delay. A mathematical model is first established. By employing the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inlin...

SWTT: A Hybrid Stationary Wavelet Transform and TCN-Transformer Network for EEG Artifact Removal

Electroencephalography (EEG) is widely used in clinical diagnosis, cognitive neuroscience, and brain–computer interfaces. During acquisition, it is inevitably affected by artifacts from electrooculography (EOG) and electromyography (EMG), severely degrading signal quality and imp...