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摘要： 编者按:基于数字孪生的网络攻击与防御,探讨了在复杂网络环境下针对风电系统的攻击传播机制、数字孪生驱动的攻击态势感知和多层次防御策略.

摘要： 本文主要围绕小麦联合收割机在农业机械化中的重要性,详细探讨了其使用要点、技术操作以及维修保养的各个方面.阐述了联合收割机的使用要点,包括起步与作业速度的合理选择,割台与切割幅度的调整,以及拨禾轮的正确调整方法.

关键词： MATLAB   Sensitivity   Flux   Model reduction   Crosstalk   Systems biology  

摘要： Non-small cell lung cancer (NSCLC) is the most common type of lung cancer. According to 2020 reports, globally, 2.2 million cases are reported every year, with the mortality number being as high as 1.8 million patients. To study NSCLC, systems biology offers mathematical modeling as a tool to understand complex pathways and provide insights into the identification of biomarkers and potential therapeutic targets, which aids precision therapy. Mathematical modeling, specifically ordinary differential equations (ODEs), is used to better understand the dynamics of cancer growth and immunological interactions in the tumor microenvironment. This study highlighted the dual role of the cyclic GMP-AMP synthase-stimulator of interferon genes (cGAS/STING) pathway's classical involvement in regulating type 1 interferon (IFN I) and pro-inflammatory responses to promote tumor regression through senescence and apoptosis. Alternative signaling was induced by nuclear factor kappa B (NF-kappa B), mutated tumor protein p53 (p53), and programmed death-ligand1 (PD-L1), which lead to tumor growth. We identified key regulators in cancer progression by simulating the model and validating it with the following model estimation parameters: local sensitivity analysis, principal component analysis, rate of flow of metabolites, and model reduction. Integration of multiple signaling axes revealed that cGAS-STING, phosphoinositide 3-kinases (PI3K), and Ak strain transforming (AKT) may be potential targets that can be validated for cancer therapy.

关键词： Plasmonic-enhanced solar cells   MATLAB   Localized surface plasmon resonance   Gaussian profile  

摘要： This study explores using plasmonic nanoparticles to improve solar cell performance by enhancing light absorption and carrier generation. MATLAB simulations model the effects of localized surface plasmon resonance (LSPR) on the electromagnetic fields around these nanoparticles. The findings reveal significant increases in light scattering, spectral broadening, and absorption in the visible and near-infrared regions, crucial for efficient solar energy harvesting. The research focuses on gold and silver nanoparticles, demonstrating how LSPR optimizes light concentration and scattering into the solar cell's active layer. The results include enhanced absorption in visible and near-infrared regions due to LSPR, leading to improved light harvesting and greater solar cell efficiency with optimized nanoparticle configurations. The study employs Gaussian functions for simulating wavelength-dependent absorption profiles, adjusting parameters such as nanoparticle size and shape to find optimal performance strategies. Comparative figures illustrate significant absorption profile differences between solar cells with and without plasmonic enhancements. The study concludes that plasmonic nanoparticles can boost light absorption, broaden spectral coverage, and reduce material usage, enhancing the cost-effectiveness and sustainability of solar cells. The novelty statistical analyses reveal higher mean absorption, broader spectral coverage, and increased absorption efficiency across wavelengths for plasmonic-enhanced profiles. The absorption range (300-1400 nm) captures critical parts of the solar spectrum, optimizing energy harvesting across both visible and near-infrared ranges. Enhanced absorption leads to better performance under varied lighting conditions, demonstrating the effectiveness of plasmonic structures. Increasing the plasmonic enhancement factor further boosts absorption and broadens the spectrum, showing potential for optimizing materials and structures in solar cells