为进一步提升传感器节点部署算法性能,提出基于智能水滴优化(Intelligent water drop algorithm,IWD)辅助力导引的传感器节点部署算法.首先,对障碍物存在情况下的结构模型进行设计,给出该模型的路径损耗指数和通信半径的计算策略,同时...为进一步提升传感器节点部署算法性能,提出基于智能水滴优化(Intelligent water drop algorithm,IWD)辅助力导引的传感器节点部署算法.首先,对障碍物存在情况下的结构模型进行设计,给出该模型的路径损耗指数和通信半径的计算策略,同时对传感器节点IWD优化部署策略进行流程设计;其次,为增强传统IWD算法性能,采用辅助力导引方式对传统IWD进化泥土参数更新进行重新设计,增强泥土更新后水滴多样性保持效果,从而实现算法性能提升;最后,利用MATLAB制作了大小为60m×70m,规模为100组节点,包含障碍物4个的仿真算例,并选取标准IWD优化策略和差分进化算法作为对比算法,对所提算法在传感器节点部署上的覆盖率和效率优势进行验证.展开更多
Photodynamic therapy(PDT)as a non-invasive anticancer modality has received increasing attention due to its advantages of noninvasiveness,high temporospatial selectivity,simple and controllable operation,etc.PDT mainl...Photodynamic therapy(PDT)as a non-invasive anticancer modality has received increasing attention due to its advantages of noninvasiveness,high temporospatial selectivity,simple and controllable operation,etc.PDT mainly relies on the generation of toxic reactive oxygen species(ROS)by photosensitizers(PSs)under the light irradiation to cause cancer cell apoptosis and death.However,solid tumors usually exhibit an inherent hypoxic microenvironment,which greatly limits the PDT efficacy of these high oxygen-dependent conventional type II PSs.Therefore,it is of great importance to design and develop efficient type I PSs that are less oxygen-dependent for the treatment of hypoxic tumors.Herein,a new strategy for the preparation of efficient type I PSs by introducing the photoinduced electron transfer(PET)mechanism is reported.DR-NO_(2) is obtained by introducing 4-nitrobenzyl to(Z)-2-(5-(4-(diethylamino)-2-hydroxybenzylidene)-4-oxo-3-phenylthiazolidin-2-ylidene)malononitrile(DR-OH)with aggregation-induced emission(AIE)feature.The AIE feature ensures their high ROS generation efficiency in aggregate,and the PET process leads to fluorescence quenching of DR-NO_(2) to promote triplet state formation,which also promotes intramolecular charge separation and electron transfer that is conducive for type I ROS particularly superoxide radicals generation.In addition,DR-NO_(2) nanoparticles are prepared by nanoprecipitation to possess nanoscaled sizes,high cancer cell uptake,and excellent type I ROS generation ability,which results in an excellent performance in PDT ablation of MCF-7 cancer cells.This PET strategy for the development of type I PSs possesses great potential for PDT applications against hypoxic tumors.展开更多
针对力导引算法缺乏交互性、效率低、美观性不足,提出一种面向交互的渐进式图布局算法IIA(Interaction Oriented and Incremental Algorithm)。该算法先对一小部分图数据进行可视化,然后根据用户的选择从已可视化的部分渐进式扩展,再利...针对力导引算法缺乏交互性、效率低、美观性不足,提出一种面向交互的渐进式图布局算法IIA(Interaction Oriented and Incremental Algorithm)。该算法先对一小部分图数据进行可视化,然后根据用户的选择从已可视化的部分渐进式扩展,再利用改进的算法对扩展部分进行可视化。实验结果表明:IIA算法不仅能与用户交互,而且提高了可视化的效率,在美观性上也有所改善。展开更多
文摘为进一步提升传感器节点部署算法性能,提出基于智能水滴优化(Intelligent water drop algorithm,IWD)辅助力导引的传感器节点部署算法.首先,对障碍物存在情况下的结构模型进行设计,给出该模型的路径损耗指数和通信半径的计算策略,同时对传感器节点IWD优化部署策略进行流程设计;其次,为增强传统IWD算法性能,采用辅助力导引方式对传统IWD进化泥土参数更新进行重新设计,增强泥土更新后水滴多样性保持效果,从而实现算法性能提升;最后,利用MATLAB制作了大小为60m×70m,规模为100组节点,包含障碍物4个的仿真算例,并选取标准IWD优化策略和差分进化算法作为对比算法,对所提算法在传感器节点部署上的覆盖率和效率优势进行验证.
文摘Photodynamic therapy(PDT)as a non-invasive anticancer modality has received increasing attention due to its advantages of noninvasiveness,high temporospatial selectivity,simple and controllable operation,etc.PDT mainly relies on the generation of toxic reactive oxygen species(ROS)by photosensitizers(PSs)under the light irradiation to cause cancer cell apoptosis and death.However,solid tumors usually exhibit an inherent hypoxic microenvironment,which greatly limits the PDT efficacy of these high oxygen-dependent conventional type II PSs.Therefore,it is of great importance to design and develop efficient type I PSs that are less oxygen-dependent for the treatment of hypoxic tumors.Herein,a new strategy for the preparation of efficient type I PSs by introducing the photoinduced electron transfer(PET)mechanism is reported.DR-NO_(2) is obtained by introducing 4-nitrobenzyl to(Z)-2-(5-(4-(diethylamino)-2-hydroxybenzylidene)-4-oxo-3-phenylthiazolidin-2-ylidene)malononitrile(DR-OH)with aggregation-induced emission(AIE)feature.The AIE feature ensures their high ROS generation efficiency in aggregate,and the PET process leads to fluorescence quenching of DR-NO_(2) to promote triplet state formation,which also promotes intramolecular charge separation and electron transfer that is conducive for type I ROS particularly superoxide radicals generation.In addition,DR-NO_(2) nanoparticles are prepared by nanoprecipitation to possess nanoscaled sizes,high cancer cell uptake,and excellent type I ROS generation ability,which results in an excellent performance in PDT ablation of MCF-7 cancer cells.This PET strategy for the development of type I PSs possesses great potential for PDT applications against hypoxic tumors.
文摘针对力导引算法缺乏交互性、效率低、美观性不足,提出一种面向交互的渐进式图布局算法IIA(Interaction Oriented and Incremental Algorithm)。该算法先对一小部分图数据进行可视化,然后根据用户的选择从已可视化的部分渐进式扩展,再利用改进的算法对扩展部分进行可视化。实验结果表明:IIA算法不仅能与用户交互,而且提高了可视化的效率,在美观性上也有所改善。
