Journal of Research in Multidisciplinary Methods and Applications

A Hybrid Framework for IA Drives Improved Elastic Weight Consolidation and Dynamic Knowledge Distillation Improvements

Weirong Ye — 2026-03-15

Aiming at the problems of high computational complexity of traditional elastic weight consolidation (EWC), weak generalization ability of AdaDistill, and poor adaptability of non-IID data in continuous learning, an improved hybrid framework driven by Intelligence Augmentation (IA) is proposed. The framework optimizes the parameter protection strategy of EWC through the meta-learning adaptive mechanism, introduces reinforcement learning dynamic regulation to improve the knowledge transfer efficiency of AdaDistill, and designs an adaptive weight fusion module to achieve collaborative optimization between the two. Specifically, in the EWC module, an online sparse Fisher information estimation method is proposed, which reduces the computational complexity from O(K×N²) to O(L×N). In the AdaDistill module, a multi-teacher collaborative distillation and dynamic temperature control mechanism is built to improve the ability of cross-task generalization. The total loss weight was adjusted by the dual feedback of task similarity and learning progress, and the adaptability of non-IID data was enhanced. Experiments on the Split CIFAR-100, Permuted MNIST, and GLUE datasets show that the average accuracy of the framework is improved by 7.2%~9.5%, the forgetting rate is reduced by 42.3%~51.6%, the training time is shortened by 65.8%~73.4%, and the memory usage is reduced by 78.2%~85.1% compared with the traditional EWC and AdaDistill. This framework can provide efficient solutions for continuous learning scenarios such as autonomous driving and medical diagnosis.

Upregulation of Src by lncRNA Modulates FAK-dependent ErbB Signaling in Hepatocellular Carcinoma

Xiuli Mao — 2026-03-15

Objective: To investigate Src expression in hepatocellular carcinoma (HCC) using bioinformatics approaches, focusing on its modulation of focal adhesion kinase (FAK/PTK2) via ErbB signaling and the regulatory role of long non-coding RNAs (lncRNAs). Methods: Fifty-five EGFR pathway genes extracted from QuickGO were uploaded to the BGI Multi-Omics Platform to generate FPKM matrices of tumor and adjacent tissue. Differentially expressed genes (DEGs) were defined by q < 0.05 and |log₂FC| > 1. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment were performed with DAVID; a protein–protein interaction (PPI) network was constructed in STRING and Cytoscape, and the top 12 hub genes were selected by degree. The same platform generated a hierarchical clustering heatmap and GO level-2 classification. Tumor Immune Estimation Resource 2.0 (TIMER2.0) was used to profile Src expression across cancers, HCC survival, and immune infiltration. Src/miRNA/lncRNA expression matrices were exported; transcripts with q < 0.05 were filtered in Excel, and a lncRNA-miRNA-Src competing endogenous RNA (ceRNA) network was built and visualized. Results: Src was overexpressed in HCC. It enhanced FAK activity and ErbB signaling, thereby accelerating HCC initiation and progression. Src activity correlates tightly with tumor aggressiveness. lncRNAs up-regulated Src and positively associate with angiogenesis, proliferation, and metastasis in HCC. Conclusion: High Src expression predicts poor prognosis in HCC. LncRNAs modulate Src levels and ErbB pathway activity.

Methane Release Driven by Algae Vital Activity

Hui Liang — 2026-03-15

As a potent greenhouse gas, accurate estimation and regulation of methane's global emission budget is the key to addressing climate change. Conventional wisdom suggests that methane production is mainly confined to anaerobic environments, but recent studies have confirmed that algae can drive methane release through a variety of pathways. Although the current research clarifies the important role of algae in the methane cycle, it still faces challenges such as difficulty in quantifying the ecological contribution rate of each release pathway and unclear key molecular mechanisms. In-depth exploration of the laws and mechanisms of algae-driven methane release can not only improve the theoretical framework of the global methane cycle, but also provide scientific basis and new perspectives for ecosystem greenhouse gas emission control and carbon cycle regulation.

The Practice of Ideological and Political Teaching Reform in Preschool Education Courses in Higher Education Colleges: A Case Study of "Kindergarten Curriculum and Teaching Theory"

Chunmao Ren — 2026-03-15

"Kindergarten Curriculum and Teaching Theory" is the core course of preschool education in colleges and universities, which has the characteristics of theory, practice, foundation and comprehensiveness. In the context of ideological and political curriculum in colleges and universities, "Kindergarten Curriculum and Teaching Theory" strengthens the application of ideological and political courses by determining educational goals around "student-oriented", excavating ideological and political elements to enrich the curriculum content, and adopting a variety of measures to strengthen the application of ideological and political courses, so as to realize the organic integration of professional courses and ideological and political courses, which can not only improve the depth of education in preschool education professional courses, but also improve the professionalism of preschool students and promote the professional development of teachers.