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Though several naphthalimide derivatives have exhibited antitumor activity in clinical trials, some issues such as toxicity prompted further structural modifications on the naphthalimide backbone. A series of naphthalimides conjugated with polyamines were synthesized to harness the polyamine transporter (PAT) for drug delivery, which was beneficial for the tumor cell selectivity. Bioevaluation in human hepatoma HepG2 cells treated with alpha-difluoromethylornithine (DFMO) or spermidine (Spd), human hepatoma Bel-7402 and normal QSG-7701 hepatocyte confirmed the PAT recognition and cell selectivity. In addition, the novel naphthalimide polyamine conjugate kills cells via apoptosis, and the Akt/mTOR signal pathway was first identified as the upstream cellular target through the apoptotic mechanism research. The presence of DFMO or Spd only either elevated or attenuated the cell apoptosis, but did not change the signal pathway. Collectively, the proper polyamine recognition element (i.e., homospermidine) mediated effective drug delivery via the PAT, and helped the proper cytotoxic goods (i.e., diverse naphthalimides) exert antitumor properties.

This paper explores dynamic visual communication image framing for graphic design based on virtual reality algorithms, defines corresponding feature representations by delineating layers of pixels, elements, relationships, planes, and applications, and investigates methods for quantifying geometric features, perceptual features, and style features, respectively. The contents include extraction methods for element colors, calculation methods for layout perceptual features and color-matching perceptual features, and pairwise comparison methods for style features. Overfitting the distribution of geometric features in the data, the model can predict the probability density distribution of features such as element position and color under specific conditions to support the generation of flat images. To achieve the construction of the prediction model, the sampling method of features, model optimization method, and data learning strategy is investigated. This thesis involves the design and implementation of a lossless/near-lossless compression system for high frame rate gaze camera image data, which is faced with the technical problems of high fidelity, strong real-time and reliable compression. The image single-frame lossless/near-loss-free compression ratio is generally low, and the compression ratio can be improved by using the correlation between image frames. In this paper, we study the application of lossless compression between image frames, the efficient computing structure of FPGA, and the on-board compression system. INDEX TERMS Virtual reality; graphic design; dynamic visual communication; image framing.