Non-selective hunting of waterbirds poses a significant challenge in biodiversity-rich areas such as Important Bird Areas (IBAs), where protected and game species congregate. Here, we present evidence from three conse...Non-selective hunting of waterbirds poses a significant challenge in biodiversity-rich areas such as Important Bird Areas (IBAs), where protected and game species congregate. Here, we present evidence from three consecutive hunting seasons spanning autumn 2021 to spring 2024 at a Natura 2000 site in western Poland, based on analyses of hunting bag photographs, local hunting records, and standardized bird monitoring data. We recorded 1331 hunted individuals from 14 species, 43% of which are protected under national or EU legislation. Among these was the Vulnerable Common Pochard (Aythya ferina), listed on the IUCN Red List. For nearly all species, harvest rates exceeded the sustainable thresholds defined by BirdLife International. Statistical comparisons between species' environmental abundance and their representation in hunting bags indicated no selectivity in shooting, pointing to indiscriminate hunting practices. Simultaneous waterbird monitoring (2018–2024) revealed steep declines in the local waterbird community and a marked decrease in Common Crane (Grus grus) numbers, with average autumn roost counts dropping from over 2000 individuals prior to hunting to 320 during hunting seasons. Although causality cannot be directly confirmed, these patterns suggest substantial disturbance effects. Our findings demonstrate the impracticality of selective hunting in species-rich wetland refuges and highlight the systematic killing of protected species. We recommend banning waterbird hunting in IBAs and implementing mandatory bird identification training and certification for hunters to reduce unintended impacts on vulnerable species.展开更多
Purpose–High-speed turnouts are more complex in structure and thus may cause abnormal vibration of highspeed train car body,affecting driving safety and passenger riding experience.Therefore,it is necessary to analyz...Purpose–High-speed turnouts are more complex in structure and thus may cause abnormal vibration of highspeed train car body,affecting driving safety and passenger riding experience.Therefore,it is necessary to analyze the data characteristics of continuous hunting of high-speed trains passing through turnouts and propose a diagnostic method for engineering applications.Design/methodology/approach–First,Complete Ensemble Empirical Mode Decomposition with Adaptive Noise(CEEMDAN)is performed to determine the first characteristic component of the car body’s lateral acceleration.Then,the Short-Time Fourier Transform(STFT)is performed to calculate the marginal spectra.Finally,the presence of a continuous hunting problem is determined based on the results of the comparison calculations and diagnostic thresholds.To improve computational efficiency,permutation entropy(PE)is used as a fast indicator to identify turnouts with potential problems.Findings–Under continuous hunting conditions,the PE is less than 0.90;the ratio of the maximum peak value of the signal component to the original signal peak value exceeded 0.7,and there is an energy band in the STFT time-frequency map,which corresponds to a frequency distribution range of 1–2 Hz.Originality/value–The research results have revealed the lateral vibration characteristics of the high-speed train’s car body during continuous hunting when passing through turnouts.On this basis,an effective diagnostic method has been proposed.With a focus on practical engineering applications,a rapid screening index for identifying potential issues has been proposed,significantly enhancing the efficiency of diagnostic processes.展开更多
We study the influence of conformity on the evolution of cooperative behavior in games under the learning method of sampling on networks.A strategy update rule based on sampling is introduced into the stag hunt game,w...We study the influence of conformity on the evolution of cooperative behavior in games under the learning method of sampling on networks.A strategy update rule based on sampling is introduced into the stag hunt game,where agents draw samples from their neighbors and then update their strategies based on conformity or inference according to the situation in the sample.Based on these assumptions,we present the state transition equations in the dynamic evolution of population cooperation,conduct simulation analysis on lattice networks and scale-free networks,and discuss how this mechanism affects the evolution of cooperation and how cooperation evolves under different levels of conformity in the network.Our simulation results show that blindly imitating the strategies of neighbors does not necessarily lead to rapid consensus in the population.Instead,rational inference through samples can better promote the evolution of the same strategy among all agents in the population.Moreover,the simulation results also show that a smaller sample size cannot reflect the true situation of the neighbors,which has a large randomness,and the size of the benefits obtained in cooperation determines the direction of the entire population towards cooperation or defection.This work incorporates the conforming behavior of agents into the game,uses the method of sampling for strategy updates and enriches the theory of evolutionary games with a more realistic significance.展开更多
Being too critical, outspoken or engaging in behavior deemed immoral can get you into big trouble in China. And it’s not the authori-ties we’re talking about here. The power of the people has found a new outlet to vent
This work proposes an online collaborative hunting strategy for multi-robot systems based on obstacle-avoiding Voronoi cells in a complex dynamic environment. This involves firstly designing the construction method us...This work proposes an online collaborative hunting strategy for multi-robot systems based on obstacle-avoiding Voronoi cells in a complex dynamic environment. This involves firstly designing the construction method using a support vector machine(SVM) based on the definition of buffered Voronoi cells(BVCs). Based on the safe collision-free region of the robots, the boundary weights between the robots and the obstacles are dynamically updated such that the robots are tangent to the buffered Voronoi safety areas without intersecting with the obstacles. Then, the robots are controlled to move within their own buffered Voronoi safety area to achieve collision-avoidance with other robots and obstacles. The next step involves proposing a hunting method that optimizes collaboration between the pursuers and evaders. Some hunting points are generated and distributed evenly around a circle. Next, the pursuers are assigned to match the optimal points based on the Hungarian algorithm.Then, a hunting controller is designed to improve the containment capability and minimize containment time based on collision risk. Finally, simulation results have demonstrated that the proposed cooperative hunting method is more competitive in terms of time and travel distance.展开更多
Hunting stability is an important performance criterion in railway vehicles.This study proposes an incorporation of a bio-inspired limb-like structure(LLS)-based nonlinear damping into the motor suspension system for ...Hunting stability is an important performance criterion in railway vehicles.This study proposes an incorporation of a bio-inspired limb-like structure(LLS)-based nonlinear damping into the motor suspension system for traction units to improve the nonlinear critical speed and hunting stability of high-speed trains(HSTs).Initially,a vibration transmission analysis is conducted on a HST vehicle and a metro vehicle that suffered from hunting motion to explore the effect of different motor suspension systems from on-track tests.Subsequently,a simplified lateral dynamics model of an HST bogie is established to investigate the influence of the motor suspension on the bogie hunting behavior.The bifurcation analysis is applied to optimize the motor suspension parameters for high critical speed.Then,the nonlinear damping of the bio-inspired LLS,which has a positive correlation with the relative displacement,can further improve the modal damping of hunting motion and nonlinear critical speed compared with the linear motor suspension system.Furthermore,a comprehensive numerical model of a high-speed train,considering all nonlinearities,is established to investigate the influence of different types of motor suspension.The simulation results are well consistent with the theoretical analysis.The benefits of employing nonlinear damping of the bio-inspired LLS into the motor suspension of HSTs to enhance bogie hunting stability are thoroughly validated.展开更多
The composition of assemblages,diet and behavior of waterbird species with similar ecological features are important aspects in the functioning of aquatic ecosystems.Closely related animal species often share resource...The composition of assemblages,diet and behavior of waterbird species with similar ecological features are important aspects in the functioning of aquatic ecosystems.Closely related animal species often share resources such as space and food in ways that reduce competition,but if the diets of different species strongly overlap,interspecific competition may intensify.This analysis examined behavioral data relating to Great Egret,Little Egret,and Squacco Heron to explore their foraging efficiencies in rich aquatic habitats in an arid zone during post-breeding movements.The fieldwork was carried out in small estuaries of a Wadi on the southern coast of Oman.The frequency of interactions was the highest in Squacco Heron and the lowest in Great Egret.However,the differences in the numbers of inter-and intra-specific interactions between the 3 species were significant.Activity indices calculated for a 5-min period,i.e.,the number of interactions(interaction index)and times of flying and walking(movement index)differed among the 3 species.The number of successful attacks was the highest in Squacco Heron,while the foraging effectiveness of Great Egret and Little Egret was similar.GLM analysis showed that only the movement index was significant,as it had a positive impact on individual foraging success.Great Egret caught more fish than the other 2 heron species which,in turn,caught a greater number of smaller prey items,mostly invertebrates.This study shows that heron species in the same rich habitat employ different foraging tactics.In comparison to the other two heron species,the foraging tactics of Squacco Heron seem to be the most susceptible to competition.However,its greater mobility and using different foraging tactics,enhance its foraging success.展开更多
Here,we consider earlier Upper Paleolithic sites in the Selenga River Basin,the main fluvial input of Lake Baikal that flows through northern Mongolia and the southwestern Transbaikal region of Russia.Lithic industrie...Here,we consider earlier Upper Paleolithic sites in the Selenga River Basin,the main fluvial input of Lake Baikal that flows through northern Mongolia and the southwestern Transbaikal region of Russia.Lithic industries from these sites can be attributed to the laminar Initial Upper Paleolithic(IUP)technocomplex,widespread in southern Siberia and Central Asia.IUP industries appear in the Selenga Basin about 45 kaBP cal.Aspects of regional typological variability and the transport of exotic raw materials over long distances indicate that these populations participated in developed exchange networks and employed high mobility targeting the acquisition of necessary raw materials.Two site types are present:quarry-workshops in northern Mongolia and generalized activity settlements in the southwestern Transbaikal.Although faunal data are limited,we interpret available information as indicating a specialization on hunting,focusing on migrating steppe game species.The distribution of sites in the mid-altitudes and landscapes of the Selenga-Orkhon geographical region and the geomorphological homogeneity of this territory also supported interregional human moves during the IUP.展开更多
Human activities affect bird behavior both directly and indirectly.Birds constantly regulate their behavior in response to human disturbance.Gun hunting,a major directional disturbance,puts enormous selection pressure...Human activities affect bird behavior both directly and indirectly.Birds constantly regulate their behavior in response to human disturbance.Gun hunting,a major directional disturbance,puts enormous selection pressure on birds.In China,gun bans have been in place for nearly 30 years,and little hunting using guns occurs in modern cities.However,little attention has been paid to whether a history of hunting still affects the behavioral adaptations of urban birds.In this study,we compared the flight initiation distance(FiD)of the Eurasian tree sparrow Passer montanus,Azure-winged magpie Cyanopica cyanus,Common hoopoe Upupa epops and Eurasian magpie Pica pica in the presence of observers with or without popguns.The Eurasian tree sparrow,Azure-winged magpie,and Eurasian magpie effectively recognized the difference between the observers,and perceived the armed observer as a greater threat,exhibiting earlier escape behavior,but this phenomenon was not found in the Common hoopoe.The different expressions in FID of experimental bird species in China cities may be affected by the different levels of recognition of huntingpressuredue todifferent hunting histories.展开更多
In recent years,wearable devices-based Human Activity Recognition(HAR)models have received significant attention.Previously developed HAR models use hand-crafted features to recognize human activities,leading to the e...In recent years,wearable devices-based Human Activity Recognition(HAR)models have received significant attention.Previously developed HAR models use hand-crafted features to recognize human activities,leading to the extraction of basic features.The images captured by wearable sensors contain advanced features,allowing them to be analyzed by deep learning algorithms to enhance the detection and recognition of human actions.Poor lighting and limited sensor capabilities can impact data quality,making the recognition of human actions a challenging task.The unimodal-based HAR approaches are not suitable in a real-time environment.Therefore,an updated HAR model is developed using multiple types of data and an advanced deep-learning approach.Firstly,the required signals and sensor data are accumulated from the standard databases.From these signals,the wave features are retrieved.Then the extracted wave features and sensor data are given as the input to recognize the human activity.An Adaptive Hybrid Deep Attentive Network(AHDAN)is developed by incorporating a“1D Convolutional Neural Network(1DCNN)”with a“Gated Recurrent Unit(GRU)”for the human activity recognition process.Additionally,the Enhanced Archerfish Hunting Optimizer(EAHO)is suggested to fine-tune the network parameters for enhancing the recognition process.An experimental evaluation is performed on various deep learning networks and heuristic algorithms to confirm the effectiveness of the proposed HAR model.The EAHO-based HAR model outperforms traditional deep learning networks with an accuracy of 95.36,95.25 for recall,95.48 for specificity,and 95.47 for precision,respectively.The result proved that the developed model is effective in recognizing human action by taking less time.Additionally,it reduces the computation complexity and overfitting issue through using an optimization approach.展开更多
The strategic geographical location of Palestine, along with its topography, diversity of ecosystems and climatic changes, create a suitable environment for the presence of reptiles. Zoos in the Gaza Strip have a vari...The strategic geographical location of Palestine, along with its topography, diversity of ecosystems and climatic changes, create a suitable environment for the presence of reptiles. Zoos in the Gaza Strip have a variety of zoo animals including terrestrial, freshwater and marine reptiles. The present study aims to document the Palestinian reptiles held in captivity and/or kept stuffed at zoos in the Gaza Strip. Repeated visits to Gaza zoos were conducted over a ten-year period from 2010 to 2019 to achieve the purpose of the study. Digital cameras and guidebooks were used to document and identify Palestinian reptiles. In addition, interviews were carried out with zoo owners and workers and some reptile hunters who provide live and even dead specimens to Gaza zoos and had their specimens identified and photographed. A total of 29 Palestinian reptile species (one crocodile, four turtles, six lizards and 18 snake species), belonging to 3 orders and 15 families, were recorded as live or preserved specimens at Gaza zoos. The Nile Crocodile (Crocodylus niloticus), which went extinct in Palestine since the beginning of the 20th century, is the biggest reptilian encountered in the current study. Nearly all these reptiles were trapped using different means in the marine, freshwater and terrestrial environments of the Gaza Strip. Two of the highly threatened global sea turtle species were encountered: the Loggerhead Sea Turtle (Caretta caretta) and the Green Sea Turtle (Chelonia mydas). The Spur-thighed Tortoise (Testudo graeca), which is classified as vulnerable by the IUCN, is kept in relatively large numbers in cages at Gaza zoos. The Desert Monitor (Varanus griseus), Palestine Viper (Daboia palaestinae), and Syrian Black Snake (Coluber jugularis asianus) were the most occurring lizard and snake species at Gaza zoos. In conclusion, zoos are good tools that contribute to Palestinians’ knowledge of their wildlife resources. The ecological role of reptiles in their ecosystems requires Palestinians to protect and conserve them as well as all forms of wildlife in a sustainable manner.展开更多
文摘Non-selective hunting of waterbirds poses a significant challenge in biodiversity-rich areas such as Important Bird Areas (IBAs), where protected and game species congregate. Here, we present evidence from three consecutive hunting seasons spanning autumn 2021 to spring 2024 at a Natura 2000 site in western Poland, based on analyses of hunting bag photographs, local hunting records, and standardized bird monitoring data. We recorded 1331 hunted individuals from 14 species, 43% of which are protected under national or EU legislation. Among these was the Vulnerable Common Pochard (Aythya ferina), listed on the IUCN Red List. For nearly all species, harvest rates exceeded the sustainable thresholds defined by BirdLife International. Statistical comparisons between species' environmental abundance and their representation in hunting bags indicated no selectivity in shooting, pointing to indiscriminate hunting practices. Simultaneous waterbird monitoring (2018–2024) revealed steep declines in the local waterbird community and a marked decrease in Common Crane (Grus grus) numbers, with average autumn roost counts dropping from over 2000 individuals prior to hunting to 320 during hunting seasons. Although causality cannot be directly confirmed, these patterns suggest substantial disturbance effects. Our findings demonstrate the impracticality of selective hunting in species-rich wetland refuges and highlight the systematic killing of protected species. We recommend banning waterbird hunting in IBAs and implementing mandatory bird identification training and certification for hunters to reduce unintended impacts on vulnerable species.
基金support from the funds of National Natural Science Foundation of China(52308473)China Academy of Railway Science Corporation Limited(2022YJ192)are gratefully acknowledged。
文摘Purpose–High-speed turnouts are more complex in structure and thus may cause abnormal vibration of highspeed train car body,affecting driving safety and passenger riding experience.Therefore,it is necessary to analyze the data characteristics of continuous hunting of high-speed trains passing through turnouts and propose a diagnostic method for engineering applications.Design/methodology/approach–First,Complete Ensemble Empirical Mode Decomposition with Adaptive Noise(CEEMDAN)is performed to determine the first characteristic component of the car body’s lateral acceleration.Then,the Short-Time Fourier Transform(STFT)is performed to calculate the marginal spectra.Finally,the presence of a continuous hunting problem is determined based on the results of the comparison calculations and diagnostic thresholds.To improve computational efficiency,permutation entropy(PE)is used as a fast indicator to identify turnouts with potential problems.Findings–Under continuous hunting conditions,the PE is less than 0.90;the ratio of the maximum peak value of the signal component to the original signal peak value exceeded 0.7,and there is an energy band in the STFT time-frequency map,which corresponds to a frequency distribution range of 1–2 Hz.Originality/value–The research results have revealed the lateral vibration characteristics of the high-speed train’s car body during continuous hunting when passing through turnouts.On this basis,an effective diagnostic method has been proposed.With a focus on practical engineering applications,a rapid screening index for identifying potential issues has been proposed,significantly enhancing the efficiency of diagnostic processes.
基金Project supported by the National Natural Science Foundation of China(Grant No.72031009)the National Social Science Foundation of China(Grant No.20&ZD058)。
文摘We study the influence of conformity on the evolution of cooperative behavior in games under the learning method of sampling on networks.A strategy update rule based on sampling is introduced into the stag hunt game,where agents draw samples from their neighbors and then update their strategies based on conformity or inference according to the situation in the sample.Based on these assumptions,we present the state transition equations in the dynamic evolution of population cooperation,conduct simulation analysis on lattice networks and scale-free networks,and discuss how this mechanism affects the evolution of cooperation and how cooperation evolves under different levels of conformity in the network.Our simulation results show that blindly imitating the strategies of neighbors does not necessarily lead to rapid consensus in the population.Instead,rational inference through samples can better promote the evolution of the same strategy among all agents in the population.Moreover,the simulation results also show that a smaller sample size cannot reflect the true situation of the neighbors,which has a large randomness,and the size of the benefits obtained in cooperation determines the direction of the entire population towards cooperation or defection.This work incorporates the conforming behavior of agents into the game,uses the method of sampling for strategy updates and enriches the theory of evolutionary games with a more realistic significance.
文摘Being too critical, outspoken or engaging in behavior deemed immoral can get you into big trouble in China. And it’s not the authori-ties we’re talking about here. The power of the people has found a new outlet to vent
基金supported by the National Natural Science Foundation of China (62273007,61973023)Project of Cultivation for Young Top-motch Talents of Beijing Municipal Institutions (BPHR202203032)。
文摘This work proposes an online collaborative hunting strategy for multi-robot systems based on obstacle-avoiding Voronoi cells in a complex dynamic environment. This involves firstly designing the construction method using a support vector machine(SVM) based on the definition of buffered Voronoi cells(BVCs). Based on the safe collision-free region of the robots, the boundary weights between the robots and the obstacles are dynamically updated such that the robots are tangent to the buffered Voronoi safety areas without intersecting with the obstacles. Then, the robots are controlled to move within their own buffered Voronoi safety area to achieve collision-avoidance with other robots and obstacles. The next step involves proposing a hunting method that optimizes collaboration between the pursuers and evaders. Some hunting points are generated and distributed evenly around a circle. Next, the pursuers are assigned to match the optimal points based on the Hungarian algorithm.Then, a hunting controller is designed to improve the containment capability and minimize containment time based on collision risk. Finally, simulation results have demonstrated that the proposed cooperative hunting method is more competitive in terms of time and travel distance.
基金the National Natural Science Foundation of China (Nos. 52388102, 52072317 and U2268210)the State Key Laboratory of Rail Transit Vehicle System (No. 2024RVL-T12)
文摘Hunting stability is an important performance criterion in railway vehicles.This study proposes an incorporation of a bio-inspired limb-like structure(LLS)-based nonlinear damping into the motor suspension system for traction units to improve the nonlinear critical speed and hunting stability of high-speed trains(HSTs).Initially,a vibration transmission analysis is conducted on a HST vehicle and a metro vehicle that suffered from hunting motion to explore the effect of different motor suspension systems from on-track tests.Subsequently,a simplified lateral dynamics model of an HST bogie is established to investigate the influence of the motor suspension on the bogie hunting behavior.The bifurcation analysis is applied to optimize the motor suspension parameters for high critical speed.Then,the nonlinear damping of the bio-inspired LLS,which has a positive correlation with the relative displacement,can further improve the modal damping of hunting motion and nonlinear critical speed compared with the linear motor suspension system.Furthermore,a comprehensive numerical model of a high-speed train,considering all nonlinearities,is established to investigate the influence of different types of motor suspension.The simulation results are well consistent with the theoretical analysis.The benefits of employing nonlinear damping of the bio-inspired LLS into the motor suspension of HSTs to enhance bogie hunting stability are thoroughly validated.
基金supported by the University of Siedlce,Poland(Theme No.151/23/B and 152/23/B fnanced from a science grant by the Ministry of Education and Science,Poland).
文摘The composition of assemblages,diet and behavior of waterbird species with similar ecological features are important aspects in the functioning of aquatic ecosystems.Closely related animal species often share resources such as space and food in ways that reduce competition,but if the diets of different species strongly overlap,interspecific competition may intensify.This analysis examined behavioral data relating to Great Egret,Little Egret,and Squacco Heron to explore their foraging efficiencies in rich aquatic habitats in an arid zone during post-breeding movements.The fieldwork was carried out in small estuaries of a Wadi on the southern coast of Oman.The frequency of interactions was the highest in Squacco Heron and the lowest in Great Egret.However,the differences in the numbers of inter-and intra-specific interactions between the 3 species were significant.Activity indices calculated for a 5-min period,i.e.,the number of interactions(interaction index)and times of flying and walking(movement index)differed among the 3 species.The number of successful attacks was the highest in Squacco Heron,while the foraging effectiveness of Great Egret and Little Egret was similar.GLM analysis showed that only the movement index was significant,as it had a positive impact on individual foraging success.Great Egret caught more fish than the other 2 heron species which,in turn,caught a greater number of smaller prey items,mostly invertebrates.This study shows that heron species in the same rich habitat employ different foraging tactics.In comparison to the other two heron species,the foraging tactics of Squacco Heron seem to be the most susceptible to competition.However,its greater mobility and using different foraging tactics,enhance its foraging success.
文摘Here,we consider earlier Upper Paleolithic sites in the Selenga River Basin,the main fluvial input of Lake Baikal that flows through northern Mongolia and the southwestern Transbaikal region of Russia.Lithic industries from these sites can be attributed to the laminar Initial Upper Paleolithic(IUP)technocomplex,widespread in southern Siberia and Central Asia.IUP industries appear in the Selenga Basin about 45 kaBP cal.Aspects of regional typological variability and the transport of exotic raw materials over long distances indicate that these populations participated in developed exchange networks and employed high mobility targeting the acquisition of necessary raw materials.Two site types are present:quarry-workshops in northern Mongolia and generalized activity settlements in the southwestern Transbaikal.Although faunal data are limited,we interpret available information as indicating a specialization on hunting,focusing on migrating steppe game species.The distribution of sites in the mid-altitudes and landscapes of the Selenga-Orkhon geographical region and the geomorphological homogeneity of this territory also supported interregional human moves during the IUP.
基金supported the National Natural Science Foundation of China(Nos.32160242 to JL and 32270526 to WL)the specifc research fund of The Innovation Platform for Academicians of Hainan ProvinceSY was supported by the Hainan Province Postdoctoral Research Project.
文摘Human activities affect bird behavior both directly and indirectly.Birds constantly regulate their behavior in response to human disturbance.Gun hunting,a major directional disturbance,puts enormous selection pressure on birds.In China,gun bans have been in place for nearly 30 years,and little hunting using guns occurs in modern cities.However,little attention has been paid to whether a history of hunting still affects the behavioral adaptations of urban birds.In this study,we compared the flight initiation distance(FiD)of the Eurasian tree sparrow Passer montanus,Azure-winged magpie Cyanopica cyanus,Common hoopoe Upupa epops and Eurasian magpie Pica pica in the presence of observers with or without popguns.The Eurasian tree sparrow,Azure-winged magpie,and Eurasian magpie effectively recognized the difference between the observers,and perceived the armed observer as a greater threat,exhibiting earlier escape behavior,but this phenomenon was not found in the Common hoopoe.The different expressions in FID of experimental bird species in China cities may be affected by the different levels of recognition of huntingpressuredue todifferent hunting histories.
文摘In recent years,wearable devices-based Human Activity Recognition(HAR)models have received significant attention.Previously developed HAR models use hand-crafted features to recognize human activities,leading to the extraction of basic features.The images captured by wearable sensors contain advanced features,allowing them to be analyzed by deep learning algorithms to enhance the detection and recognition of human actions.Poor lighting and limited sensor capabilities can impact data quality,making the recognition of human actions a challenging task.The unimodal-based HAR approaches are not suitable in a real-time environment.Therefore,an updated HAR model is developed using multiple types of data and an advanced deep-learning approach.Firstly,the required signals and sensor data are accumulated from the standard databases.From these signals,the wave features are retrieved.Then the extracted wave features and sensor data are given as the input to recognize the human activity.An Adaptive Hybrid Deep Attentive Network(AHDAN)is developed by incorporating a“1D Convolutional Neural Network(1DCNN)”with a“Gated Recurrent Unit(GRU)”for the human activity recognition process.Additionally,the Enhanced Archerfish Hunting Optimizer(EAHO)is suggested to fine-tune the network parameters for enhancing the recognition process.An experimental evaluation is performed on various deep learning networks and heuristic algorithms to confirm the effectiveness of the proposed HAR model.The EAHO-based HAR model outperforms traditional deep learning networks with an accuracy of 95.36,95.25 for recall,95.48 for specificity,and 95.47 for precision,respectively.The result proved that the developed model is effective in recognizing human action by taking less time.Additionally,it reduces the computation complexity and overfitting issue through using an optimization approach.
文摘The strategic geographical location of Palestine, along with its topography, diversity of ecosystems and climatic changes, create a suitable environment for the presence of reptiles. Zoos in the Gaza Strip have a variety of zoo animals including terrestrial, freshwater and marine reptiles. The present study aims to document the Palestinian reptiles held in captivity and/or kept stuffed at zoos in the Gaza Strip. Repeated visits to Gaza zoos were conducted over a ten-year period from 2010 to 2019 to achieve the purpose of the study. Digital cameras and guidebooks were used to document and identify Palestinian reptiles. In addition, interviews were carried out with zoo owners and workers and some reptile hunters who provide live and even dead specimens to Gaza zoos and had their specimens identified and photographed. A total of 29 Palestinian reptile species (one crocodile, four turtles, six lizards and 18 snake species), belonging to 3 orders and 15 families, were recorded as live or preserved specimens at Gaza zoos. The Nile Crocodile (Crocodylus niloticus), which went extinct in Palestine since the beginning of the 20th century, is the biggest reptilian encountered in the current study. Nearly all these reptiles were trapped using different means in the marine, freshwater and terrestrial environments of the Gaza Strip. Two of the highly threatened global sea turtle species were encountered: the Loggerhead Sea Turtle (Caretta caretta) and the Green Sea Turtle (Chelonia mydas). The Spur-thighed Tortoise (Testudo graeca), which is classified as vulnerable by the IUCN, is kept in relatively large numbers in cages at Gaza zoos. The Desert Monitor (Varanus griseus), Palestine Viper (Daboia palaestinae), and Syrian Black Snake (Coluber jugularis asianus) were the most occurring lizard and snake species at Gaza zoos. In conclusion, zoos are good tools that contribute to Palestinians’ knowledge of their wildlife resources. The ecological role of reptiles in their ecosystems requires Palestinians to protect and conserve them as well as all forms of wildlife in a sustainable manner.
