Cooperative search-attack is an important application of unmanned aerial vehicle(UAV)swarm in military field.The coupling between path planning and task allocation,the heterogeneity of UAVs,and the dynamic nature of t...Cooperative search-attack is an important application of unmanned aerial vehicle(UAV)swarm in military field.The coupling between path planning and task allocation,the heterogeneity of UAVs,and the dynamic nature of task environment greatly increase the complexity and difficulty of the UAV swarm cooperative search-attack mission planning problem.Inspired by the collaborative hunting behavior of wolf pack,a distributed selforganizing method for UAV swarm search-attack mission planning is proposed.First,to solve the multi-target search problem in unknown environments,a wolf scouting behavior-inspired cooperative search algorithm for UAV swarm is designed.Second,a distributed self-organizing task allocation algorithm for UAV swarm cooperative attacking of targets is proposed by analyzing the flexible labor division behavior of wolves.By abstracting the UAV as a simple artificial wolf agent,the flexible motion planning and group task coordinating for UAV swarm can be realized by self-organizing.The effectiveness of the proposed method is verified by a set of simulation experiments,the stability and scalability are evaluated,and the integrated solution for the coupled path planning and task allocation problems for the UAV swarm cooperative search-attack task can be well performed.展开更多
We evaluate an adaptive optimisation methodology,Bayesian optimisation(BO),for designing a minimum weight explosive reactive armour(ERA)for protection against a surrogate medium calibre kinetic energy(KE)long rod proj...We evaluate an adaptive optimisation methodology,Bayesian optimisation(BO),for designing a minimum weight explosive reactive armour(ERA)for protection against a surrogate medium calibre kinetic energy(KE)long rod projectile and surrogate shaped charge(SC)warhead.We perform the optimisation using a conventional BO methodology and compare it with a conventional trial-and-error approach from a human expert.A third approach,utilising a novel human-machine teaming framework for BO is also evaluated.Data for the optimisation is generated using numerical simulations that are demonstrated to provide reasonable qualitative agreement with reference experiments.The human-machine teaming methodology is shown to identify the optimum ERA design in the fewest number of evaluations,outperforming both the stand-alone human and stand-alone BO methodologies.From a design space of almost 1800 configurations the human-machine teaming approach identifies the minimum weight ERA design in 10 samples.展开更多
The replication of HIV-1 requires the integration of its cyclic DNA into host DNA by HIV-1 integrase （IN）, which includes two important reactions, 3＇-processing and strand transfer, both catalyzed by HIV-1 IN. Disr...The replication of HIV-1 requires the integration of its cyclic DNA into host DNA by HIV-1 integrase （IN）, which includes two important reactions, 3＇-processing and strand transfer, both catalyzed by HIV-1 IN. Disrupting either of the reactions will fulfill the purpose of inhibiting the replication of HIV-1. In this paper, pharmacophore modeling and molecular docking are employed to investigate the inhibition mechanism of the HIV-1 IN strand transfer inhibitors （INSTIs）. Based on the results, we suggest that the inhibition mechanism of INSTIs involves the inhibitor chelating the cofactors Mg2＋ and its forming hydrogen bonds with some crucial residues adjacent to the DDE active center.展开更多
In the present study, we aimed to explore the mechanism of Salvia miltiorrhiza in the treatment of pathological scars(PS) by network pharmacology. The active ingredients and drug targets of Salvia miltiorrhiza were sc...In the present study, we aimed to explore the mechanism of Salvia miltiorrhiza in the treatment of pathological scars(PS) by network pharmacology. The active ingredients and drug targets of Salvia miltiorrhiza were screened out through TCMSP database, the disease targets of PS in Gene Cards database were obtained, and Venn diagram analysis on drug targets and disease targets was performed, and the intersection was used as the target of Salvia miltiorrhiza for the treatment of PS. Cytoscape software was used to construct a drug-ingredient-target-disease network diagram. A protein-protein interaction network was constructed through String website, its key protein modules and hub genes were screened with Cytoscape software, and GO and KEGG enrichment analyses were performed in DAVID database. Fifty-nine active ingredients, 138 drug targets, and 90 targets of Salvia miltiorrhiza for the treatment of PS were screened out. Core ingredients, such as luteolin and tanshinone IIA, were obtained. The hub genes, such as VEGFA, TP53, JUN, STAT3, AKT1, MAPK1, and PTGS2, and signaling pathways, such as HIF-1, TNF, MAPK, PI3 K-Akt, and Jak-STAT, were screened out. Salvia miltiorrhiza might improve PS hypoxia, inflammation, and balance of proliferation and apoptosis of fibroblasts by regulating HIF-1, TNF, MAPK, PI3 K-Akt, and Jak-STAT signaling pathways. Moreover, it had the characteristics of multiple centers, multiple targets, and multiple pathways.展开更多
基金supported by the National Natural Science Foundation of China(61502534)the Shaanxi Provincial Natural Science Foundation(2020JQ-493)+2 种基金the Integrative Equipment Research Project of Armed Police Force(WJ20211A030018)the Military Science Project of the National Social Science Fund(WJ2019-SKJJ-C-092)the Theoretical Research Foundation of Armed Police Engineering University(WJY202148)。
文摘Cooperative search-attack is an important application of unmanned aerial vehicle(UAV)swarm in military field.The coupling between path planning and task allocation,the heterogeneity of UAVs,and the dynamic nature of task environment greatly increase the complexity and difficulty of the UAV swarm cooperative search-attack mission planning problem.Inspired by the collaborative hunting behavior of wolf pack,a distributed selforganizing method for UAV swarm search-attack mission planning is proposed.First,to solve the multi-target search problem in unknown environments,a wolf scouting behavior-inspired cooperative search algorithm for UAV swarm is designed.Second,a distributed self-organizing task allocation algorithm for UAV swarm cooperative attacking of targets is proposed by analyzing the flexible labor division behavior of wolves.By abstracting the UAV as a simple artificial wolf agent,the flexible motion planning and group task coordinating for UAV swarm can be realized by self-organizing.The effectiveness of the proposed method is verified by a set of simulation experiments,the stability and scalability are evaluated,and the integrated solution for the coupled path planning and task allocation problems for the UAV swarm cooperative search-attack task can be well performed.
文摘We evaluate an adaptive optimisation methodology,Bayesian optimisation(BO),for designing a minimum weight explosive reactive armour(ERA)for protection against a surrogate medium calibre kinetic energy(KE)long rod projectile and surrogate shaped charge(SC)warhead.We perform the optimisation using a conventional BO methodology and compare it with a conventional trial-and-error approach from a human expert.A third approach,utilising a novel human-machine teaming framework for BO is also evaluated.Data for the optimisation is generated using numerical simulations that are demonstrated to provide reasonable qualitative agreement with reference experiments.The human-machine teaming methodology is shown to identify the optimum ERA design in the fewest number of evaluations,outperforming both the stand-alone human and stand-alone BO methodologies.From a design space of almost 1800 configurations the human-machine teaming approach identifies the minimum weight ERA design in 10 samples.
基金supported by the National Natural Science Foundation of China (No. 30472166)the Tianjin Commission of Science and Technology (06YFGZSH07000)
文摘The replication of HIV-1 requires the integration of its cyclic DNA into host DNA by HIV-1 integrase （IN）, which includes two important reactions, 3＇-processing and strand transfer, both catalyzed by HIV-1 IN. Disrupting either of the reactions will fulfill the purpose of inhibiting the replication of HIV-1. In this paper, pharmacophore modeling and molecular docking are employed to investigate the inhibition mechanism of the HIV-1 IN strand transfer inhibitors （INSTIs）. Based on the results, we suggest that the inhibition mechanism of INSTIs involves the inhibitor chelating the cofactors Mg2＋ and its forming hydrogen bonds with some crucial residues adjacent to the DDE active center.
基金The National Key Research and Development Projects(Grant No.2017YFC1307602)the Scientific Research Projects of Tianjin(Grant No.16ZXHLSY00120+2 种基金15ZXLCSY00040)Logistics College of PAP Projects(Grant No.WHJ201729)Logistics Project of PAP(Grant No.CWJ18L004)。
文摘In the present study, we aimed to explore the mechanism of Salvia miltiorrhiza in the treatment of pathological scars(PS) by network pharmacology. The active ingredients and drug targets of Salvia miltiorrhiza were screened out through TCMSP database, the disease targets of PS in Gene Cards database were obtained, and Venn diagram analysis on drug targets and disease targets was performed, and the intersection was used as the target of Salvia miltiorrhiza for the treatment of PS. Cytoscape software was used to construct a drug-ingredient-target-disease network diagram. A protein-protein interaction network was constructed through String website, its key protein modules and hub genes were screened with Cytoscape software, and GO and KEGG enrichment analyses were performed in DAVID database. Fifty-nine active ingredients, 138 drug targets, and 90 targets of Salvia miltiorrhiza for the treatment of PS were screened out. Core ingredients, such as luteolin and tanshinone IIA, were obtained. The hub genes, such as VEGFA, TP53, JUN, STAT3, AKT1, MAPK1, and PTGS2, and signaling pathways, such as HIF-1, TNF, MAPK, PI3 K-Akt, and Jak-STAT, were screened out. Salvia miltiorrhiza might improve PS hypoxia, inflammation, and balance of proliferation and apoptosis of fibroblasts by regulating HIF-1, TNF, MAPK, PI3 K-Akt, and Jak-STAT signaling pathways. Moreover, it had the characteristics of multiple centers, multiple targets, and multiple pathways.
