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Antenna design and optimization must ensure robust electrical performance, making its analysis a crucial step in all antenna design processes. Traditionally, this analysis involves setting up various cases after establishing the calculation model, comparing the performance of each case, and summarizing the impact of relevant factors to guide design and optimization. However, this method is time-consuming and inefficient. This paper proposes a sensitivity-based approach for analyzing antenna electrical performance, using a radome-covered array antenna as an example. First, we derive the formulas for calculating the antenna's electrical performance and its sensitivity to the current amplitude, array element position, and radome thickness. We then design comparative experiments to analyze the antenna's performance using the sensitivity-based method and the traditional case enumeration method. Comparing the conclusions of both methods, we find that they yield the same results regarding antenna performance. The proposed sensitivity-based method offers a quantitative evaluation of various influencing factors and provides a more scientific and systematic approach to analyzing antenna electrical performance. [ABSTRACT FROM AUTHOR]

Glioblastoma multiforme (GBM) presents significant challenges in treatment, with current standard-of-care approaches offering limited efficacy and survival benefits. This necessitates the development of innovative therapeutic strategies to enhance treatment outcomes. Nanotechnology has emerged as a promising avenue in cancer therapy, offering targeted drug delivery and enhanced therapeutic efficacy. Polymeric nanoparticles, particularly those based on Poly (lactic-co-glycolic acid) (PLGA), have gained traction as drug carriers due to their biocompatibility and controlled release properties. However, their interception by macrophages poses challenges to effective drug delivery. Superparamagnetic iron oxide (SPIO) nanoparticles have shown promise as radiosensitizers, enhancing the efficacy of radiotherapy through the generation of reactive oxygen species (ROS). Moreover, cell membrane biomimetic drug delivery systems have garnered attention for their ability to improve biocompatibility and targeting capabilities. Leveraging these concepts, our study introduces a novel multifunctional platform, GM@P (T/S), comprising polymeric nanoparticles coated with cancer cell membrane. By encapsulating temozolomide (TMZ) and SPIO nanoparticles within GM@P (T/S), we aim to synergistically enhance the cytotoxic effects of chemotherapy and radiotherapy against GBM while overcoming limitations associated with conventional treatments. This innovative approach holds promise for addressing the unmet clinical needs in GBM therapy and advancing towards more effective and personalized treatment strategies.