In Silico Logical Modelling to Uncover Cooperative Interactions in Cancer

The multistep development of cancer involves the cooperation between multiple molecular lesions, as well as complex interactions between cancer cells and the surrounding tumour microenvironment. The search for these synergistic interactions using experimental models made tremendous contributions to our understanding of oncogenesis. Yet, these approaches remain labour-intensive and challenging. To tackle such a hurdle, an integrative, multidisciplinary effort is required. In this article, we highlight the use of logical computational models, combined with experimental validations, as an effective approach to identify cooperative mechanisms and therapeutic strategies in the context of cancer biology. In silico models overcome limitations of reductionist approaches by capturing tumour complexity and by generating powerful testable hypotheses. We review representative examples of logical models reported in the literature and their validation. We then provide further analyses of our logical model of Epithelium to Mesenchymal Transition (EMT), searching for additional cooperative interactions involving inputs from the tumour microenvironment and gain of function mutations in NOTCH.     

基于MTPM和DPM的多无人机协同广域目标搜索滚动时域决策

传统的协同搜索决策方法在目标引导和机间协同方面存在不足. 研究建立了基于分布概率预测的目标概率图（Target probability map,TPM）初始化方法和基于贝叶斯准则的目标概率图动态更新方法,形成了修正目标概率图（Modified TPM,MTPM）及其运算机理.考虑对任务子区域进行可控回访,定义了数字信息素图（Digital pheromone map,DPM）,建立了数字信息素图使用方法及更新机理.设计了基于MTPM和DPM的寻优指标,建立了基于滚动时域控制的协同搜索决策方法（MTPM-DPM-RHC method,MDR）.仿真表明: 1） MTPM能有效降低对目标的虚警率和漏检率;2） DPM能有效实现对任务区域可控回访;3） MDR方法的遍历能力、重访能力和目标搜索效率均优于已有方法.     

基于批发价格事前和事后决策的供应链合作促销策略研究

针对单一供应商和单一零售商组成的二级供应链系统,构建了批发价格事前和事后决策下的合作促销模型,探讨了批发价格事前和事后决策对合作促销的影响,并求得Stackelber主从博弈下的均衡合作促销策略。研究结果表明,在批发价格事前决策且零售商努力影响需求、或批发价格事后决策且供应商努力影响需求的情形下,合作促销均不是一个有效的激励策略;在批发价格事前决策且供应商努力影响需求的情形下,只有当促销努力成本共担系数小于一定的阈值时,合作促销才是一个有效的激励策略;在批发价格事后决策且零售商努力影响需求的情形下,合作促销始终是有效的激励策略。最后通过算例分析验证了上述结论的有效性。     

电力系统一二次调频的反馈微分博弈协同控制

风能等间歇式能源并网将是未来电网发展趋势,其输出功率的波动将加剧一二次调频之间的冲突反调问题.本文将反馈微分博弈应用于电力系统频率控制中,建立起一二次调频的协同控制模型,并考虑调速器死区、控制动作幅值限制、机组爬坡速率约束等工程实际因素,用协同进化算法求得该模型的反馈纳什均衡解.用仿真验证了该方法在满足各种工程因素下有效解决一二次调频的冲突反调问题,充分挖掘了系统蕴藏的调频能力.     

基于辅助节点的安全协作频谱感知

在认知无线电网络中,恶意用户会占用授权频段,模仿主用户的信号特征发送信号,导致其他认知用户误认为主用户存在。针对该问题,提出一种基于辅助节点的安全感知机制,在网络中部署若干辅助节点,利用链路特征和加密机制对主用户的活动情况进行识别。设计适用于该机制的融合判决算法,不对授权网络做任何形式的改动即能有效识别恶意用户,并在融合时采用信任节点的感知数据,从而提高融合结果的鲁棒性。仿真结果表明,与K秩、And和Or算法相比,在恶意环境下该算法具有较好的检测性能。     

基于协作传输的大范围WSNs能耗均衡分簇算法

由于大范围无线传感器网络（WSNs）节点的数量巨大,网络的能量消耗极不均,提出一种基于协作传输的分簇算法—EBBMCC—LS算法。该算法在保证网络均匀分簇的前提下,能保证网络中簇头节点的均匀分布,在簇间通信时加入协作传输策略,传感器节点之间通过协作传输构成虚拟多天线系统,改善系统性能,解决了大范围WSNs中的能耗不均现象。实验验证：该算法能够均衡大范围WSNs中的能耗,延长网络寿命,可促进大范围WSNs应用的推广。     

基于谈判集的模糊合作博弈的收益分配方案

为了弥补核心作为博弈解可能为空集的缺陷,将经典合作博弈中的谈判集解拓展到模糊合作博弈中,提出了模糊合作博弈的模糊谈判集的概念.探讨模糊网络博弈的模糊谈判集和核心的等价性质,并对相关结论加以证明.研究表明,模糊合作博弈的模糊谈判集是经典合作博弈谈判集的自然拓展,该结果丰富了对模糊合作博弈的解的研究,也表明了模糊网络博弈核心的非空性,进而保证其最优分配方案的存在性.     

网络化雷达协同抗欺骗式干扰技术研究进展

网络化雷达在战场上可以构成全方位、立体化、多层次的战斗体系,因 此对欺骗式干扰对抗具有很大的优越性。本文首先简要介绍了网络化雷达概念,并分析了其 抗干扰优势。根据网络化雷达融合结构不同,将现有协同抗干扰方法分为数据级融合抗欺骗 式干扰和信号级融合抗欺骗式干扰两大类,其中,数据级融合方法进一步分类为点迹关联和 航迹关联两类。本文对各类方法进行了详细介绍,在此基础上,比较分析了数据级融合和信 号级融合两类方法的抗干扰性能及算法复杂度,为抗干扰措施的选择提供依据。最后,针对 现有方法中存在的问题,对网络化雷达协同抗欺骗式干扰的发展趋势进行展望,指出下一步 的研究方向。     

A progressive deployment strategy for cooperative adaptive cruise control to improve traffic dynamics

Cooperative adaptive cruise control(CACC)vehicles are intelligent vehicles that use vehicular ad hoc networks(VANETs)to share trafc information in real time.Previous studies have shown that CACC could have an impact on increasing highway capacities at high market penetration.Since reaching a high CACC market penetration level is not occurring in the near future,this study presents a progressive deployment approach that demonstrates to have a great potential of reducing trafc congestions at low CACC penetration levels.Using a previously developed microscopic trafc simulation model of a freeway with an on-ramp—created to induce perturbations and trigger stop-and-go trafc,the CACC system s efect on the trafc performance is studied.The results show signifcance and indicate the potential of CACC systems to improve trafc characteristics which can be used to reduce trafc congestion.The study shows that the impact of CACC is positive and not only limited to a high market penetration.By giving CACC vehicles priority access to high-occupancy vehicle(HOV)lanes,the highway capacity could be signifcantly improved with a CACC penetration as low as 20%.     

A Progressive Deployment Strategy for Cooperative Adaptive Cruise Control to Improve Trafc Dynamics

Cooperative adaptive cruise control(CACC)vehicles are intelligent vehicles that use vehicular ad hoc networks(VANETs)to share trafc information in real time.Previous studies have shown that CACC could have an impact on increasing highway capacities at high market penetration.Since reaching a high CACC market penetration level is not occurring in the near future,this study presents a progressive deployment approach that demonstrates to have a great potential of reducing trafc congestions at low CACC penetration levels.Using a previously developed microscopic trafc simulation model of a freeway with an on-ramp—created to induce perturbations and trigger stop-and-go trafc,the CACC system s efect on the trafc performance is studied.The results show signifcance and indicate the potential of CACC systems to improve trafc characteristics which can be used to reduce trafc congestion.The study shows that the impact of CACC is positive and not only limited to a high market penetration.By giving CACC vehicles priority access to high-occupancy vehicle(HOV)lanes,the highway capacity could be signifcantly improved with a CACC penetration as low as 20%.