A new species Guizygiella haoyangi Yao&Liu,sp.nov.(♂)is reported from Fujian Province,China,and a new record of G.salta(Yin&Gong,1996)in Jiangxi Province.Detailed morphological descriptions,photographs of the...A new species Guizygiella haoyangi Yao&Liu,sp.nov.(♂)is reported from Fujian Province,China,and a new record of G.salta(Yin&Gong,1996)in Jiangxi Province.Detailed morphological descriptions,photographs of the body and genitalia of these two species are provided.展开更多
Intrusion detection(ID)is a cyber security practice that encompasses the process of monitoring network activities to identify unauthorized or malicious actions.This includes problems like the difficulties of existing ...Intrusion detection(ID)is a cyber security practice that encompasses the process of monitoring network activities to identify unauthorized or malicious actions.This includes problems like the difficulties of existing intrusion detection models to identify emerging attacks,generating many false alarms,and their inability and difficulty to adapt themselves with time when it comes to threats,hence to overcome all those existing challenges in this research develop a Prairie Araneida optimization based fused Convolutional Neural Network model(PAO-CNN)for intrusion detection.The fused CNN(Convolutional Neural Netowrk)is a remarkable development since it combines statistical features that are extracted from the processed data and provide enhanced capabilities for the model to capture complicated patterns existing in intrusion datasets.The adoption of a fused architecture represents an integrated way towards intrusion detection where the model can significantly interpret various features to achieve higher accuracy.On top of this,the Prairie Araneida stage which is based on coyote behavior and social spider colonies respectively plays a role in enabling to handling of intricate optimization landscapes.The dual contribution of a fused CNN and novel optimization strategies strengthens the research’s goal to design an effective intrusion detection system that can evolve with new cyber threats.When the Training percentage(TP)is set to 90,the model’s performance can be assessed using metrics like Accuracy,Sensitivity,and Specificity.In this particular dataset,these metrics reach approximately 97.78%,96.25%,and 96.15%,respectively,which are crucial values.Additionally,when using a k-fold value of 6,the model achieves metrics of 97.04%Accuracy,97.37%Sensitivity,and 96.48%Specificity.展开更多
Color polymorphisms have been traditionally attributed to apostatic selection.The perception of color depends on the visual system of the observer.Theoretical models predict that differently perceived degrees of consp...Color polymorphisms have been traditionally attributed to apostatic selection.The perception of color depends on the visual system of the observer.Theoretical models predict that differently perceived degrees of conspicuousness by two predator and prey species may cause the evolution of polymorphisms in the presence of anti-apostatic and apostatic selection.The spider Gasteracantha cancriformis(Araneidae)possesses several conspicuous color morphs.In orb-web spiders,the prey attraction hypothesis states that conspicuous colors are prey lures that increase spider foraging success via flower mimicry.Therefore,polymorphism could be maintained if each morph attracted a different prey species(multiple prey hypothesis)and each spider mimicked a different flower color(flower mimicry hypothesis).Conspicuous colors could be a warning signal to predators because of the spider's hard abdomen and spines.Multiple predators could perceive morphs differently and exert different degrees of selective pressures(multiple predator hypothesis).We explored these 3 hypotheses using reflectance data and color vision modeling to estimate the chromatic and achromatic contrast of G.cancriformis morphs as perceived by several potential prey and predator taxa.Our results revealed that individual taxa perceive the conspicuousness of morphs differently.Therefore,the multiple prey hypothesis and,in part,the multiple predator hypothesis may explain the evolution of color polymorphism in G.cancriformis,even in the presence of anti-apostatic selection.The flower mimicry hypothesis received support by color metrics,but not by color vision models.Other parameters not evaluated by color vision models could also affect the perception of morphs and influence morph survival and polymorphism stability.展开更多
基金supported by the Key Laboratoryy of Jiangxi Province for Biological Invasion and Biosecurity(2023SSY02111)。
文摘A new species Guizygiella haoyangi Yao&Liu,sp.nov.(♂)is reported from Fujian Province,China,and a new record of G.salta(Yin&Gong,1996)in Jiangxi Province.Detailed morphological descriptions,photographs of the body and genitalia of these two species are provided.
文摘Intrusion detection(ID)is a cyber security practice that encompasses the process of monitoring network activities to identify unauthorized or malicious actions.This includes problems like the difficulties of existing intrusion detection models to identify emerging attacks,generating many false alarms,and their inability and difficulty to adapt themselves with time when it comes to threats,hence to overcome all those existing challenges in this research develop a Prairie Araneida optimization based fused Convolutional Neural Network model(PAO-CNN)for intrusion detection.The fused CNN(Convolutional Neural Netowrk)is a remarkable development since it combines statistical features that are extracted from the processed data and provide enhanced capabilities for the model to capture complicated patterns existing in intrusion datasets.The adoption of a fused architecture represents an integrated way towards intrusion detection where the model can significantly interpret various features to achieve higher accuracy.On top of this,the Prairie Araneida stage which is based on coyote behavior and social spider colonies respectively plays a role in enabling to handling of intricate optimization landscapes.The dual contribution of a fused CNN and novel optimization strategies strengthens the research’s goal to design an effective intrusion detection system that can evolve with new cyber threats.When the Training percentage(TP)is set to 90,the model’s performance can be assessed using metrics like Accuracy,Sensitivity,and Specificity.In this particular dataset,these metrics reach approximately 97.78%,96.25%,and 96.15%,respectively,which are crucial values.Additionally,when using a k-fold value of 6,the model achieves metrics of 97.04%Accuracy,97.37%Sensitivity,and 96.48%Specificity.
文摘Color polymorphisms have been traditionally attributed to apostatic selection.The perception of color depends on the visual system of the observer.Theoretical models predict that differently perceived degrees of conspicuousness by two predator and prey species may cause the evolution of polymorphisms in the presence of anti-apostatic and apostatic selection.The spider Gasteracantha cancriformis(Araneidae)possesses several conspicuous color morphs.In orb-web spiders,the prey attraction hypothesis states that conspicuous colors are prey lures that increase spider foraging success via flower mimicry.Therefore,polymorphism could be maintained if each morph attracted a different prey species(multiple prey hypothesis)and each spider mimicked a different flower color(flower mimicry hypothesis).Conspicuous colors could be a warning signal to predators because of the spider's hard abdomen and spines.Multiple predators could perceive morphs differently and exert different degrees of selective pressures(multiple predator hypothesis).We explored these 3 hypotheses using reflectance data and color vision modeling to estimate the chromatic and achromatic contrast of G.cancriformis morphs as perceived by several potential prey and predator taxa.Our results revealed that individual taxa perceive the conspicuousness of morphs differently.Therefore,the multiple prey hypothesis and,in part,the multiple predator hypothesis may explain the evolution of color polymorphism in G.cancriformis,even in the presence of anti-apostatic selection.The flower mimicry hypothesis received support by color metrics,but not by color vision models.Other parameters not evaluated by color vision models could also affect the perception of morphs and influence morph survival and polymorphism stability.
