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This paper summarized the focus, the development trend and the technical nature of AI large model research, analyzed the development strategy of AI at the national level, the urgent needs in the field of national defense, and the basis of applications in the field of ships. Then, from the aspects of the development of intelligent green ships, the innovation of defense equipment systems, the construction of management and control system and the transformation of knowledge-intensive industries, the broad prospect of applying AI large model technologies to the field of ships was discussed. The paper pointed out that the combination of AI large model technologies and concepts such as parallel systems, knowledge factories and digital employees can catalyze new designs, research and development and verification methods such as "AI design" + "digital factory" + "parallel verification". In addition, AI large model technology can inject intelligent and green elements into the shipping industry from aspects such as the hull design, ship construction, shipping management, energy conservation and emission reduction, can optimize ship functions, and improve efficiency, economy and environmental protection. Combined with new materials, new energy power and new information electronics and other technologies, AI large model technologies can shape the future marine defense equipment system based on new concepts and new patterns. At the same time, AI large model technologies can enable the construction of ship management and control systems, optimize planning, help scientific and technological innovation, improve management efficiency and improve the quality and efficiency of the corporations. In particular, with the establishment of knowledge factories in the field of ships, the training of digital employees, the promotion of industrial robots and the expansion of far-reaching sea fields, artificial intelligence large model technologies will be able to promote the organic combination and close collaboration of "natural persons", "robots" and "digital people" in the field of ships, and accelerate the upgrading of the ship industry to be knowledge intensive and intelligent intensive. This can transform the industrial ecology and value creation mode to be high-end, intelligent, and green, and realize a development mode that pays more attention to quality and efficiency for shipbuilding corporations.

The pursuit of drugs and methods to safeguard dopaminergic neurons holds paramount importance in Parkinson's disease (PD) research. Benfotiamine (BFT) has demonstrated neuroprotective properties, yet its precise mechanisms in PD remain elusive. This study investigated BFT's potential protective effects against dopamine neuron damage in a PD animal model and the underlying mechanisms. The PD mouse model was induced by 5 consecutive MPTP injections, followed by BFT intervention for 28 days. Motor deficits were assessed via pole test, hang test, gait analysis, and open field test, while dopaminergic neuron damage was evaluated through Immunofluorescence, Nissl staining, and Western blot analysis of Tyrosine Hydroxylase (TH) in the substantia nigra and striatum. High Performance Liquid Chromatography quantified dopamine (DA) levels and its metabolites. Genetic pathways were explored using RNA-seq and bioinformatics analysis on substantia nigra tissues, confirmed by qPCR. Activation of the Nrf2 pathway was examined through nuclear translocation and expression of downstream antioxidant enzymes HO-1, GCLM, and NQO1 at mRNA and protein levels. Additionally, measurements of MDA content, GSH activity, and SOD activity were taken in the substantia nigra and striatum. BFT administration improved motor function and protected against dopaminergic neuron degeneration in MPTP mice, with partial recovery in TH expression and DA levels. RNA-seq analysis revealed distinct effects of BFT and the NLRP3 inhibitor MCC950 on Parkinson-related pathways and genes. Control of Nrf2 proved crucial for BFT, as it facilitated Nrf2 movement to the nucleus, upregulating antioxidant genes and enzymes while mitigating oxidative damage. This study elucidates BFT's neuroprotective effects in a PD mouse model via Nrf2-mediated antioxidant mechanisms and gene expression modulation, underscoring its potential as a therapeutic agent for PD. [ABSTRACT FROM AUTHOR]