带退化因子的人工代谢算法在多对象物流配送优化中的应用

在多对象优化的物流配送中,需要对配送对象实行均衡调度。本文提出了一种含退化因子的人工代谢算法。每一种配送对象对应了不同的代谢底物,每一种配送对象的优先级对应了相应的催化酶,每一次配送对应一次代谢过程。为了降低代谢算法的复杂度,完成配送任务后,初始化时形成的催化酶需要有规律地退出代谢体系。通过对代谢算子等参数的分析,为人工酶设立了不同等级的退化因子。根据对酶优先级的辨识,按照代谢优化的进程,使已完成寻优搜索的代谢路径有序地退出本次代谢网络,提高整个代谢网络运行效率,为后续的物流配送路径缩小搜索空间,实现多对象配送过程的优化。     

一种基于Petri网的代谢流分析方法

基于Petri网理论构建生物代谢网络模型,提出一种新的采用不等式的代谢流分析方法。以克鲁斯假丝酵母分批发酵,生产甘油的代谢网络为例,验证这种分析方法。结果表明,新分析方法,在前提假设和分析性能两方面均比采用方程式的传统方法明显优越。首先,方法允许实验数据有一定误差,使模型更加接近真实的实验系统。其次,新方法还可以做代谢模型更详细的分析:代谢流分裂比分析、敏感性分析。实际上,分析结果还可直接用于校正代谢物浓度、酶活力的边界值,为进一步研究代谢途径优化提供约束条件。     

基于数据挖掘的肝阳上亢证的症状敏感性研究

应用偏微分效用分析方法对中医肝阳上亢证的症状敏感性进行了研究,绘制出了程度影响参考曲线。在此基础上,又对研究对象进行了深度挖掘分析,得出了在限定性条件下症状对肝阳上亢证影响敏感性的一般性结论。提出了诊断-治疗参考模型的设想。     

基于人工代谢系统的物流管理

本文提出了一种人工代谢算法。通过对算法的模型和相关参数进行定义,阐述了基于人工代谢系统在物流调度中的应用实例。文中给出了一个供应链的拓扑结构图,运用人工代谢算法的原理对物流配送和逆向物流的过程进行了讨论,并对该配送网络进行了相关性能的分析。通过调节相关参数,给出了相应的物流优化配送路径。通过对物流网络的分析表明：在人工代谢算法下,物流网络的配送效率得到了较大提高。网络负荷的均衡性得到了很大改善。     

基于肠道菌群探讨葛根芩连汤治疗湿热型2型糖尿病研究进展*

摘 要: 近年来世界范围内2型糖尿病(Diabetes Mellitus type 2,T2DM)的发病率不断上升。微生态学研究证实,T2DM疾病的发生与肠道菌群数量及比例的失调有很大的关联性,这成为研究热点。现有实验发现:肠道菌群紊乱可通过短链脂肪酸学说、胆汁酸代谢学说、内毒素学说、支链氨基酸学说等机制来影响T2DM的发生发展。湿热证T2DM患者在临床最为常见,该类患者胰岛素抵抗最为严重,而动物实验研究发现葛根芩连汤可通过特定的分子机制及通路作用于肠道菌群,通过调节胰岛β细胞的功能、提高胰岛素敏感性、减轻氧化应激反应,从而调节血糖,减轻胰岛素抵抗,为临床治疗T2DM患者提供更科学的依据。但由于菌群数量庞杂,现有数据多偏重于动物实验,且研究菌群特异性不足,为此今后需进一步加强对T2DM特定菌群的研究,以及增加临床大样本数据统计。     

Graphene-Au nanoparticle based electrochemical immunosensor for fish pathogen Aphanomyces invadans detection

Epizootic ulcerative syndrome (EUS) that is primarily caused by an invasive oomycete fungus Aphanomyces invadans is a devastating fish disease. Rapid diagnosis of EUS is significantly important for the control and treatment of this highly invasive disease. In our study, a label-free immunosensor constructed with G-AuNPs/SAM-Ab-BSA/GCE was proposed for the determination of Aphanomyces invadans. The electrode was prepared by the immobilization of anti-mycelium antibodies on graphene-AuNPs nanocomposite-cysteamine monolayers modified GCE. The optimized parameters were as follows: 90 min as the immersion time of SAM modified electrode in the anti-mycelium solution, 0.20 µg/mL as the concentration of anti-mycelium solution and 10 min as the interaction time of immunoreaction. The immunosensors exhibited low limit detection of 309 ng/mL and good reproducibility.     

In Situ Bioorthogonal Metabolic Labeling for Fluorescence Imaging of Virus Infection In Vivo

Optical fluorescence imaging is an important strategy to explore the mechanism of virus–host interaction. However, current fluorescent tag labeling strategies often dampen viral infectivity. The present study explores an in situ fluorescent labeling strategy in order to preserve viral infectivity and precisely monitor viral infection in vivo. In contrast to pre‐labeling strategy, mice are first intranasally infected with azide‐modified H5N1 pseudotype virus (N₃‐H5N1p), followed by injection of dibenzocyclooctyl (DBCO)‐functionalized fluorescence 6 h later. The results show that DBCO dye directly conjugated to N₃‐H5N1p in lung tissues through in vivo bioorthogonal chemistry with high specificity and efficacy. More remarkably, in situ labeling rather than conventional prelabeling strategy effectively preserves viral infectivity and immunogenicity both in vitro and in vivo. Hence, in situ bioorthogonal viral labeling is a promising and reliable strategy for imaging and tracking viral infection in vivo.     

基于逆数据包络分析法的中医方药评价与药量计算研究

针对中医组方的药量推算建模问题,提出了基于证候上下文分析的逆数据包络分析（IDEA）算法。该算法以证侯的典型方剂为依据,以数据包络分析为评价工具,建立起反映证候演化的方药评价模型;依据代表证候状态的评价值,给相应的证型症状信息赋值,以完成“词计算”过程。最后,把具体的辨证过程植入到证侯发展的上下文环境中,以典型证型的“词计算”为依据,给出具体案例的证侯状态评价,再采用IDEA算法推算出药量数据。该模型的推算结果表明,它能够反映中医的一般用药规律,这将对辨证论治组方环节的数值化、客观化研究提供一种可能的思路。     

Thermal and cardiovascular strain imposed by motorcycle protective clothing under Australian summer conditions

Motorcycle protective clothing can be uncomfortably hot during summer, and this experiment was designed to evaluate the physiological significance of that burden. Twelve males participated in four, 90-min trials (cycling 30 W) across three environments (25, 30, 35 °C [all 40% relative humidity]). Clothing was modified between full and minimal injury protection. Both ensembles were tested at 25 °C, with only the more protective ensemble investigated at 30 and 35 °C. At 35 °C, auditory canal temperature rose at 0.02 °C min^?1 (SD 0.005), deviating from all other trials (p < 0.05). The thresholds for moderate (>38.5 °C) and profound hyperthermia (>40.0 °C) were predicted to occur within 105 min (SD 20.6) and 180 min (SD 33.0), respectively. Profound hyperthermia might eventuate in ~10 h at 30 °C, but should not occur at 25 °C. These outcomes demonstrate a need to enhance the heat dissipation capabilities of motorcycle clothing designed for summer use in hot climates, but without compromising impact protection.

Practitioner’s Summary:

Motorcycle protective clothing can be uncomfortably hot during summer. This experiment was designed to evaluate the physiological significance of this burden across climatic states. In the heat, moderate (>38.5 °C) and profound hyperthermia (>40.0 °C) were predicted to occur within 105 and 180 min, respectively.     

13C代谢通量估计的量子粒子群优化算法

~(13)C标记实验的代谢通量分析(~(13)CMFA)是探索代谢网络的重要途径。~(13)C通量估计是以碳富集度平衡为条件的全局优化问题,带有众多约束条件和存在多个局部极小点等特点,如何高效地求解是~(13)C MFA中的难点,也是实现通量精确估计的关键。量子粒子群优化算法显著特点是控制参数少,设置简单,具有较好的全局搜索能力,适应于通量估计。本文提出量子粒子群优化算法结合最小二乘计算求解噪音环境下的环磷酸戊糖代谢网络的通量,以带约束的最小化问题为目标优化函数,仿真实验验证了量子粒子群优化算法是1种有效的通量估计分析算法。