In cloud computing(CC),resources are allocated and offered to the cli-ents transparently in an on-demand way.Failures can happen in CC environment and the cloud resources are adaptable tofluctuations in the performance...In cloud computing(CC),resources are allocated and offered to the cli-ents transparently in an on-demand way.Failures can happen in CC environment and the cloud resources are adaptable tofluctuations in the performance delivery.Task execution failure becomes common in the CC environment.Therefore,fault-tolerant scheduling techniques in CC environment are essential for handling performance differences,resourcefluxes,and failures.Recently,several intelli-gent scheduling approaches have been developed for scheduling tasks in CC with no consideration of fault tolerant characteristics.With this motivation,this study focuses on the design of Gorilla Troops Optimizer Based Fault Tolerant Aware Scheduling Scheme(GTO-FTASS)in CC environment.The proposed GTO-FTASS model aims to schedule the tasks and allocate resources by considering fault tolerance into account.The GTO-FTASS algorithm is based on the social intelligence nature of gorilla troops.Besides,the GTO-FTASS model derives afitness function involving two parameters such as expected time of completion(ETC)and failure probability of executing a task.In addition,the presented fault detector can trace the failed tasks or VMs and then schedule heal submodule in sequence with a remedial or retrieval scheduling model.The experimental vali-dation of the GTO-FTASS model has been performed and the results are inspected under several aspects.Extensive comparative analysis reported the better outcomes of the GTO-FTASS model over the recent approaches.展开更多
The discovery of Paranthropus deyiremeda in 3.3 - 3.5 million-year-old fossil sites in Afar, together with 30% of the gorilla genome showing lineage sorting between humans and chimpanzees, and a NUMT (“nuclear mitoch...The discovery of Paranthropus deyiremeda in 3.3 - 3.5 million-year-old fossil sites in Afar, together with 30% of the gorilla genome showing lineage sorting between humans and chimpanzees, and a NUMT (“nuclear mitochondrial DNA segment”) on chromosome 5 that is shared by both gorillas, humans and chimpanzees, and shown to have diverged at the time of the Pan-Homo split rather than the Gorilla/Pan-Homo split, provides conclusive evidence that introgression from the gorilla lineage caused the Pan-Homo split, and the speciation of both the Australopithecus lineage and the Paranthropus lineage.展开更多
Climate change represents an unprecedented challenge for the conservation and management of endangered species and habitats. Effective climate smart conservation will require robust predictions of vulnerability and fu...Climate change represents an unprecedented challenge for the conservation and management of endangered species and habitats. Effective climate smart conservation will require robust predictions of vulnerability and future changes, along with the design and prioritisation of effective adaptation planning and management responses that are clearly linked to projected climate impacts. To achieve this goal, conservation managers urgently need practical tools and approaches for vulnerability assessment and adaptation planning. This article explores lessons emerging from a recent vulnerability assessment and adaptation planning exercise conducted on the impact of climate change for mountain gorilla (Gorilla beringei beringei). We describe the main findings emerging from this initiative and explore key lessons for climate change vulnerability assessment and adaptation planning for conservation management. Data limitations were a key factor determining the utility of model outputs and we stress the importance of stakeholder engagement and collaboration throughout the vulnerability assessment and adaptation planning cycle. These findings are of relevance to conservation practitioners seeking to incurporate climate change considerations into ongoing management planning for endangered species conservation.展开更多
Gorilla troops optimizer(GTO)is a newly developed meta-heuristic algorithm,which is inspired by the collective lifestyle and social intelligence of gorillas.Similar to othermetaheuristics,the convergence accuracy and ...Gorilla troops optimizer(GTO)is a newly developed meta-heuristic algorithm,which is inspired by the collective lifestyle and social intelligence of gorillas.Similar to othermetaheuristics,the convergence accuracy and stability of GTOwill deterioratewhen the optimization problems to be solved becomemore complex and flexible.To overcome these defects and achieve better performance,this paper proposes an improved gorilla troops optimizer(IGTO).First,Circle chaotic mapping is introduced to initialize the positions of gorillas,which facilitates the population diversity and establishes a good foundation for global search.Then,in order to avoid getting trapped in the local optimum,the lens opposition-based learning mechanism is adopted to expand the search ranges.Besides,a novel local search-based algorithm,namely adaptiveβ-hill climbing,is amalgamated with GTO to increase the final solution precision.Attributed to three improvements,the exploration and exploitation capabilities of the basic GTOare greatly enhanced.The performance of the proposed algorithm is comprehensively evaluated and analyzed on 19 classical benchmark functions.The numerical and statistical results demonstrate that IGTO can provide better solution quality,local optimumavoidance,and robustness compared with the basic GTOand five other wellknown algorithms.Moreover,the applicability of IGTOis further proved through resolving four engineering design problems and training multilayer perceptron.The experimental results suggest that IGTO exhibits remarkable competitive performance and promising prospects in real-world tasks.展开更多
n nonhuman animals,the phenomenon of rapid facial mimicry(RFM)—the automatic,involuntary,and rapid(<1 s)replication of others’facial expressions—has been mainly investigated in the playful domain.In immature low...n nonhuman animals,the phenomenon of rapid facial mimicry(RFM)—the automatic,involuntary,and rapid(<1 s)replication of others’facial expressions—has been mainly investigated in the playful domain.In immature lowland gorillas Gorilla gorilla gorilla both play face(PF)and full PF(FPF)are rapidly mimicked between the players.This makes the species suitable to test hypotheses on the factors influencing RFM during play.The observations on 3 captive groups of lowland gorillas(N=27)revealed that contrary to expectations,the closeness of social bond negatively influenced the occurrence of RFM but it did not affect either RFM latency or its overlapping index(OVERLAP).RFM was affected by the degree of symmetry of play fighting:the more balanced the session,the higher the occurrence of RFM.Players of the same sex class responded faster than players of different sex.These findings suggest that RFM may help synchronizing behaviors of playmates matching in size(same-sex)and promote symmetric playful interactions.“Laughing together”(measured by the RFM OVERLAP)lasted longer when the responder perfectly mirrored the partner expression(PF→PF;FPF→FPF).If PF and FPF convey information on the different play roughness degree,through“laughing together”the players could coordinate their actions and share positive moods and playful intensity.If the perfect congruency in the motor resonance,also known as social sensitivity,can foster a possible emotional dialogue between gorillas remains to be investigated.展开更多
We describe a novel application of“forensic”genetics to study a key demographic event in a population of wild gorillas.We used microsatellite genotyping and non-invasively collected DNA samples to identify one indiv...We describe a novel application of“forensic”genetics to study a key demographic event in a population of wild gorillas.We used microsatellite genotyping and non-invasively collected DNA samples to identify one individual western lowland gorilla as being most likely to have caused the death of another in LopéNational Park,Gabon.Data from relatively few genotypes permitted the identification of female transfer events and the interpretation of individual behavior that was previously impossible using observational methods,thus providing rare behavioral data on an elusive forest-dwelling species.Importantly,this study highlights the need for future studies of dispersal and local population structuring in forest populations,and more accurate population census methods.Genetic studies focusing on individual identification may play a valuable role in future gorilla conservation efforts.展开更多
为了有效地验证类人猿型机器人"GOROBOT"的双足动步行能力,通过合理地将可变ZMP(Zero Moment Point)的变化规律定义为余弦曲线,并基于三维倒立摆的动力学原理,推导出了单脚支撑期内机器人质心轨迹方程。在此基础上,采用样条...为了有效地验证类人猿型机器人"GOROBOT"的双足动步行能力,通过合理地将可变ZMP(Zero Moment Point)的变化规律定义为余弦曲线,并基于三维倒立摆的动力学原理,推导出了单脚支撑期内机器人质心轨迹方程。在此基础上,采用样条插值函数来保证机器人质心加速度的连续性,从而提出了基于这种可变ZMP的双足动步行关节轨迹生成方法。最后,在虚拟物理环境下利用仿真软件实现了虚拟的3-D类人猿机器人"GOROBOT"双足动步行,验证了方法的正确性和实际类人猿机器人"GOROBOT"的双足动步行能力。展开更多
文摘In cloud computing(CC),resources are allocated and offered to the cli-ents transparently in an on-demand way.Failures can happen in CC environment and the cloud resources are adaptable tofluctuations in the performance delivery.Task execution failure becomes common in the CC environment.Therefore,fault-tolerant scheduling techniques in CC environment are essential for handling performance differences,resourcefluxes,and failures.Recently,several intelli-gent scheduling approaches have been developed for scheduling tasks in CC with no consideration of fault tolerant characteristics.With this motivation,this study focuses on the design of Gorilla Troops Optimizer Based Fault Tolerant Aware Scheduling Scheme(GTO-FTASS)in CC environment.The proposed GTO-FTASS model aims to schedule the tasks and allocate resources by considering fault tolerance into account.The GTO-FTASS algorithm is based on the social intelligence nature of gorilla troops.Besides,the GTO-FTASS model derives afitness function involving two parameters such as expected time of completion(ETC)and failure probability of executing a task.In addition,the presented fault detector can trace the failed tasks or VMs and then schedule heal submodule in sequence with a remedial or retrieval scheduling model.The experimental vali-dation of the GTO-FTASS model has been performed and the results are inspected under several aspects.Extensive comparative analysis reported the better outcomes of the GTO-FTASS model over the recent approaches.
文摘The discovery of Paranthropus deyiremeda in 3.3 - 3.5 million-year-old fossil sites in Afar, together with 30% of the gorilla genome showing lineage sorting between humans and chimpanzees, and a NUMT (“nuclear mitochondrial DNA segment”) on chromosome 5 that is shared by both gorillas, humans and chimpanzees, and shown to have diverged at the time of the Pan-Homo split rather than the Gorilla/Pan-Homo split, provides conclusive evidence that introgression from the gorilla lineage caused the Pan-Homo split, and the speciation of both the Australopithecus lineage and the Paranthropus lineage.
文摘Climate change represents an unprecedented challenge for the conservation and management of endangered species and habitats. Effective climate smart conservation will require robust predictions of vulnerability and future changes, along with the design and prioritisation of effective adaptation planning and management responses that are clearly linked to projected climate impacts. To achieve this goal, conservation managers urgently need practical tools and approaches for vulnerability assessment and adaptation planning. This article explores lessons emerging from a recent vulnerability assessment and adaptation planning exercise conducted on the impact of climate change for mountain gorilla (Gorilla beringei beringei). We describe the main findings emerging from this initiative and explore key lessons for climate change vulnerability assessment and adaptation planning for conservation management. Data limitations were a key factor determining the utility of model outputs and we stress the importance of stakeholder engagement and collaboration throughout the vulnerability assessment and adaptation planning cycle. These findings are of relevance to conservation practitioners seeking to incurporate climate change considerations into ongoing management planning for endangered species conservation.
基金This work is financially supported by the Fundamental Research Funds for the Central Universities under Grant 2572014BB06.
文摘Gorilla troops optimizer(GTO)is a newly developed meta-heuristic algorithm,which is inspired by the collective lifestyle and social intelligence of gorillas.Similar to othermetaheuristics,the convergence accuracy and stability of GTOwill deterioratewhen the optimization problems to be solved becomemore complex and flexible.To overcome these defects and achieve better performance,this paper proposes an improved gorilla troops optimizer(IGTO).First,Circle chaotic mapping is introduced to initialize the positions of gorillas,which facilitates the population diversity and establishes a good foundation for global search.Then,in order to avoid getting trapped in the local optimum,the lens opposition-based learning mechanism is adopted to expand the search ranges.Besides,a novel local search-based algorithm,namely adaptiveβ-hill climbing,is amalgamated with GTO to increase the final solution precision.Attributed to three improvements,the exploration and exploitation capabilities of the basic GTOare greatly enhanced.The performance of the proposed algorithm is comprehensively evaluated and analyzed on 19 classical benchmark functions.The numerical and statistical results demonstrate that IGTO can provide better solution quality,local optimumavoidance,and robustness compared with the basic GTOand five other wellknown algorithms.Moreover,the applicability of IGTOis further proved through resolving four engineering design problems and training multilayer perceptron.The experimental results suggest that IGTO exhibits remarkable competitive performance and promising prospects in real-world tasks.
文摘n nonhuman animals,the phenomenon of rapid facial mimicry(RFM)—the automatic,involuntary,and rapid(<1 s)replication of others’facial expressions—has been mainly investigated in the playful domain.In immature lowland gorillas Gorilla gorilla gorilla both play face(PF)and full PF(FPF)are rapidly mimicked between the players.This makes the species suitable to test hypotheses on the factors influencing RFM during play.The observations on 3 captive groups of lowland gorillas(N=27)revealed that contrary to expectations,the closeness of social bond negatively influenced the occurrence of RFM but it did not affect either RFM latency or its overlapping index(OVERLAP).RFM was affected by the degree of symmetry of play fighting:the more balanced the session,the higher the occurrence of RFM.Players of the same sex class responded faster than players of different sex.These findings suggest that RFM may help synchronizing behaviors of playmates matching in size(same-sex)and promote symmetric playful interactions.“Laughing together”(measured by the RFM OVERLAP)lasted longer when the responder perfectly mirrored the partner expression(PF→PF;FPF→FPF).If PF and FPF convey information on the different play roughness degree,through“laughing together”the players could coordinate their actions and share positive moods and playful intensity.If the perfect congruency in the motor resonance,also known as social sensitivity,can foster a possible emotional dialogue between gorillas remains to be investigated.
文摘We describe a novel application of“forensic”genetics to study a key demographic event in a population of wild gorillas.We used microsatellite genotyping and non-invasively collected DNA samples to identify one individual western lowland gorilla as being most likely to have caused the death of another in LopéNational Park,Gabon.Data from relatively few genotypes permitted the identification of female transfer events and the interpretation of individual behavior that was previously impossible using observational methods,thus providing rare behavioral data on an elusive forest-dwelling species.Importantly,this study highlights the need for future studies of dispersal and local population structuring in forest populations,and more accurate population census methods.Genetic studies focusing on individual identification may play a valuable role in future gorilla conservation efforts.
文摘为了有效地验证类人猿型机器人"GOROBOT"的双足动步行能力,通过合理地将可变ZMP(Zero Moment Point)的变化规律定义为余弦曲线,并基于三维倒立摆的动力学原理,推导出了单脚支撑期内机器人质心轨迹方程。在此基础上,采用样条插值函数来保证机器人质心加速度的连续性,从而提出了基于这种可变ZMP的双足动步行关节轨迹生成方法。最后,在虚拟物理环境下利用仿真软件实现了虚拟的3-D类人猿机器人"GOROBOT"双足动步行,验证了方法的正确性和实际类人猿机器人"GOROBOT"的双足动步行能力。
