食源性晚期糖基化终末产物(advanced glycation end products,AGEs)与多种慢性疾病密切相关,尤其是糖尿病和肾脏疾病。为减少AGEs对机体的健康风险,降低食品中AGEs含量,本研究从13种氨基酸中筛选出具有良好AGEs抑制效果的色氨酸(tryptop...食源性晚期糖基化终末产物(advanced glycation end products,AGEs)与多种慢性疾病密切相关,尤其是糖尿病和肾脏疾病。为减少AGEs对机体的健康风险,降低食品中AGEs含量,本研究从13种氨基酸中筛选出具有良好AGEs抑制效果的色氨酸(tryptophan,Trp),利用牛血清白蛋白(bovine serum albumin,BSA)-果糖、BSA-丙酮醛(methylglyoxal,MGO)、BSA-乙二醛(glyoxal,GO)和精氨酸(arginine,Arg)-MGO模型探究Trp对AGEs的抑制机理。结果表明,Trp对荧光AGEs的抑制呈现出显著的质量浓度依赖性。在BSA-GO模型中Trp抑制效果最佳,其次是BSA-MGO模型和Arg-MGO模型,而在BSA-果糖模型中抑制效果不明显。Trp对N^(ε)-羧甲基赖氨酸(N^(ε)-carboxymethyllysine,CML)和N^(ε)-羧乙基赖氨酸(N^(ε)-carboxyethyllysine,CEL)的抑制呈现钟形曲线,在1000μg/mL下对CML和CEL的抑制率最高。通过探究Trp捕获MGO的能力发现,其可通过芳香亲电子取代和PictetSpengler反应捕获MGO,最高捕获能力为3 mol。展开更多
Active Queue Management (AQM) is an active research area in the Internet community. Random Early Detection (RED) is a typical AQM algorithm, but it is known that it is difficult to configure its parameters and its ave...Active Queue Management (AQM) is an active research area in the Internet community. Random Early Detection (RED) is a typical AQM algorithm, but it is known that it is difficult to configure its parameters and its average queue length is closely related to the load level. This paper proposes an effective fuzzy congestion control algorithm based on fuzzy logic which uses the pre- dominance of fuzzy logic to deal with uncertain events. The main advantage of this new congestion control algorithm is that it discards the packet dropping mechanism of RED, and calculates packet loss according to a preconfigured fuzzy logic by using the queue length and the buffer usage ratio. Theo- retical analysis and Network Simulator (NS) simulation results show that the proposed algorithm achieves more throughput and more stable queue length than traditional schemes. It really improves a router's ability in network congestion control in IP network.展开更多
基金Supported by the National High Technology Research and Development of China (863 Program) (No.2003AA121560)the High Technology Research and Development Program of Jiangsu Province (No.BEG2003001).
文摘Active Queue Management (AQM) is an active research area in the Internet community. Random Early Detection (RED) is a typical AQM algorithm, but it is known that it is difficult to configure its parameters and its average queue length is closely related to the load level. This paper proposes an effective fuzzy congestion control algorithm based on fuzzy logic which uses the pre- dominance of fuzzy logic to deal with uncertain events. The main advantage of this new congestion control algorithm is that it discards the packet dropping mechanism of RED, and calculates packet loss according to a preconfigured fuzzy logic by using the queue length and the buffer usage ratio. Theo- retical analysis and Network Simulator (NS) simulation results show that the proposed algorithm achieves more throughput and more stable queue length than traditional schemes. It really improves a router's ability in network congestion control in IP network.
