Intelligence quotient(IQ)and adaptive behavior are the influencing factors of autism spectrum disorder(ASD)in children entering mainstream schools.This study explored the association between parental education level,I...Intelligence quotient(IQ)and adaptive behavior are the influencing factors of autism spectrum disorder(ASD)in children entering mainstream schools.This study explored the association between parental education level,IQ,and adaptive behavior in ASD groups.A total of 257 school-age ASD children were enrolled in our study from January 2017 to June 2021.Their parents completed a standard demographic form,including age at autism diagnosis,gender,school placement,and parents’educational background.The Chinese version of the Wechsler Intelligence Scale for Children,Fourth Edition(WISC-IV)was completed by a certified assessor for each enrolled child.Parents were interviewed on adaptive behavior using the Chinese version of the Adaptive Behavior Assessment System,Second Edition(ABAS-II).The average IQ of school-age ASD children was 76.88(standard deviation(SD)=22.62)and boys had higher IQ levels than girls.The IQ was positively correlated with age.The General Adaptive Composite(GAC)score was 82.47(SD=15.86)and adaptive behavior did not increase with age.ASD children who attended mainstream schools had better adaptive behavior profiles than other children.The mother’s education level showed a significant correlation with the IQ and adaptive behavior of autistic children,while the father’s education level did not.Consequently,better training and support for parents may help autistic children enter mainstream schools,with adaptive training being the most urgently required skill for parents.展开更多
By analyzing thermal adaptive behavior(TAB),we can access the occupant’s thermal comfort in real time and control the heating,ventilation,and air conditioning(HVAC)system accordingly to reduce energy consumption in b...By analyzing thermal adaptive behavior(TAB),we can access the occupant’s thermal comfort in real time and control the heating,ventilation,and air conditioning(HVAC)system accordingly to reduce energy consumption in buildings.Most existing methods are based on wearable devices or cameras to collect occupant behavioral information.Although these methods can effectively identify occupant behavior,they have the problem of violating user privacy.With the development of wireless technologies,human activity recognition using WiFi has the advantages of being non-invasive,privacy-friendly,and light-independent.Therefore,non-invasive TAB recognition based on WiFi technology holds great promise in human thermal comfort.However,existing research on TAB recognition based on WiFi technology lacks comprehensive and consistent conclusions.Thus,in this paper,we have surveyed the literature in recent years to guide in this area.In addition,we present the challenges and future perspectives faced by existing WiFi-based TAB technologies,e.g.,developing high-quality WiFi sensing datasets to advance the field of human thermal comfort.We hope this review will guide researchers in recognizing the great promise of WiFi sensing applications for TAB recognition in smart buildings.展开更多
Global warming has led to the frequent occurrence of extreme climatic events(ECEs)in the ecologically frag ile Qinghai-Xizang Plateau.Rural households face strong barriers in adaption,and food production is seriously ...Global warming has led to the frequent occurrence of extreme climatic events(ECEs)in the ecologically frag ile Qinghai-Xizang Plateau.Rural households face strong barriers in adaption,and food production is seriously threatened.Current methods for increasing household adaptability take a holistic point of view,but do not ac curately identify groups experiencing different adaptive barriers.To better identify different barriers,this paper examines natural,economic,cognitive,and technical barriers.A total of 17 indicators were selected to com prehensively evaluate the degree of barriers to crops adaptation in response to ECEs.Key factors were further analyzed to identify paths to break down the barriers.The results showed the following.(1)Natural barriers were present at the highest degree,economic barriers appear to be smallest,and the overall barriers were bi ased towards the lower quartile.10.82%of the households with the highest barriers.(2)67.38%of households report taking adaptive measures in crops production.The increase of the barriers leads to an increase and then a decrease in the possibility of adaptive behavior.(3)Addressing technical barriers is key to rapidly increasing household adaptive behavior in response to ECEs.The study provides recommendations for local governments to improve household adaptation behavior from two perspectives:short-term and long-term optimization path ways.This study can help governments quickly locate households with different classes of barriers,and propose more targeted adaptation policies.The ultimate goal is to ensure the sustainability of crops production and the well-being of households in northeastern part of the Qinghai-Xizang Plateau.展开更多
Climate change is a global issue that poses a significant risk to the global economy and therefore warrants coordinated collective action.Employing a questionnaire survey in China,this study presents urban residents&#...Climate change is a global issue that poses a significant risk to the global economy and therefore warrants coordinated collective action.Employing a questionnaire survey in China,this study presents urban residents'behavioral response to climate change and its influencing factors.The results indicated that urban residents in Tianjin often took low-cost,intuitive,and quickly implementable actions,namely behavioral coping responses.Proactive adaptive behavior was also evident,which involved greater financial investment.Furthermore,according to regression analysis results of urban residents'behavior and its influencing factors,knowledge of climate change manifested a positive correlation with urban residents'behavioral coping response.In contrast,cost manifested a negative correlation with urban residents'proactive adaptive behavior,which was a more complex,costly,and challenging anticipatory action.Knowledge of climate change manifested a positive correlation with both behavioral coping response and proactive adaptive behavior.Finally,recommendations for encouraging beneficial behaviors among urban residents are suggested.展开更多
Urbanization has dramatic impacts on natural habitats and such changes may potentially drive local adaptation of urban populations.Behavioral change has been specifically shown to facilitate the fast adaptation of bir...Urbanization has dramatic impacts on natural habitats and such changes may potentially drive local adaptation of urban populations.Behavioral change has been specifically shown to facilitate the fast adaptation of birds to changing environments,but few studies have investigated the genetic mechanisms of this process.Such investigations could provide insights into questions about both evolutionary theory and management of urban populations.In this study,we investigated whether local adaptation has occurred in urban populations of a Neotropical bird species,Coereba flaveola,specifically addressing whether observed behavioral adaptations are correlated to genetic signatures of natural selection.To answer this question,we sampled 24 individuals in urban and rural environments,and searched for selected loci through a genome-scan approach based on RADseq genomic data,generated and assembled using a reference genome for the species.We recovered 46 loci as putative selection outliers,and 30 of them were identified as associated with biological processes possibly related to urban adaptation,such as the regulation of energetic metabolism,regulation of genetic expression,and changes in the immunological system.Moreover,genes involved in the development of the nervous system showed signatures of selection,suggesting a link between behavioral and genetic adaptations.Our findings,in conjunction with similar results in previous studies,support the idea that cities provide a similar selective pressure on urban populations and that behavioral plasticity may be enhanced through genetic changes in urban populations.展开更多
Rapid learning in the young of most endothermic animals can be expected to be favored by natural selection because early independence reduces the period of vulnerability.Cases of comparatively slow juvenile developmen...Rapid learning in the young of most endothermic animals can be expected to be favored by natural selection because early independence reduces the period of vulnerability.Cases of comparatively slow juvenile development continue,therefore,to attract scientific attention.In most species of birds,including raptors,the young depend on their parents for some time after fledging for the provisioning of food and for protection while they learn to become nutritionally and otherwise independent.Among raptors,post-fledging dependence periods that exceed 6 months are exclusive to the largest species and these have reproductive cycles that exceed 12 months.By contrast,young of the medium-sized grey falcon Falco hypoleucos have been reported in close company with their parents up to 12 months after fledging,that is,at a time when the adults are expected to breed again.We investigated the occurrence and characteristics of prolonged adult–juvenile association relative to other falcons and similar-sized raptors.We found that the behavioral development of grey falcon young is extremely delayed,and that they even depend nutritionally on their parents for up to 12 months after fledging.We suggest that these 2 distinctive features are,ultimately,adaptations of the grey falcon to its extreme environment,Australia’s arid and semi-arid zone,one of the hottest environments in the world.展开更多
The Tibetan Plateau,the highest and largest plateau on Earth,is characterized by low oxygen pressure,limited primary productivity,a cold climate,and high ecological fragility[1].Conventional wisdom has long suggested ...The Tibetan Plateau,the highest and largest plateau on Earth,is characterized by low oxygen pressure,limited primary productivity,a cold climate,and high ecological fragility[1].Conventional wisdom has long suggested that human settlement in this highaltitude region occurred relatively late in the global expansion of modern humans,likely during the terminal Pleistocene or Early to Middle Holocene[2].However,recent studies have pushed back the first human occupation of the Tibetan Plateau to the early part of Late Pleistocene or even the later Middle Pleistocene.These studies have also suggested that archaic hominins—specifically Denisovans—rather than modern humans,were the first pioneers of the plateau[3,4].展开更多
The emergence of adventure tourism is indicative of a process of commodification commensurate with the expansive mechanisms of the hospitality industry.The tension between excitement,thrill,and safety is on-going howe...The emergence of adventure tourism is indicative of a process of commodification commensurate with the expansive mechanisms of the hospitality industry.The tension between excitement,thrill,and safety is on-going however and the emergence of climbing walls in urban areas has provided new ways of becoming a climber:It is in the interests of climbing as business to normalise pay-to-climb conditions.Such overt commercial connections are anathema to real climbers;nevertheless the convenience of climbing walls means they are well populated and used.The present study investigates the attitudes and methods of engagement by a group of older climbers who,for the most part,started climbing in their youth before climbing walls were commonplace.A typology of climbing types is presented as a framework for discussion.The methodology is ethnographic and the findings suggest that,despite subscribing to an organic and outdoor adventure climbing ethos in their youth,this group remains active and adventurously inclined as they consider wall-climbing to be making a positive contribution to their present collective identity.展开更多
Advanced traveler information systems （ATIS） can not only improve drivers＇ accessibility to the more accurate route travel time information, but also can improve drivers＇ adaptability to the stochastic network cap...Advanced traveler information systems （ATIS） can not only improve drivers＇ accessibility to the more accurate route travel time information, but also can improve drivers＇ adaptability to the stochastic network capacity degradations. In this paper, a mixed stochastic user equilibrium model was proposed to describe the interactive route choice behaviors between ATIS equipped and unequipped drivers on a degradable transport network. In the proposed model the information accessibility of equipped drivers was reflected by lower degree of uncertainty in their stochastic equilibrium flow distributions, and their behavioral adaptability was captured by multiple equilibrium behaviors over the stochastic network state set. The mixed equilibrium model was formulated as a fixed point problem defined in the mixed route flows, and its solution was achieved by executing an iterative algorithm. Numerical experiments were provided to verify the properties of the mixed network equilibrium model and the efficiency of the iterative algorithm.展开更多
Throughout evolutionary history,animals are finely tuned to adjust their behaviors corresponding to environmental variations.Behavioral flexibility represents an important component of a species'adaptive capacity ...Throughout evolutionary history,animals are finely tuned to adjust their behaviors corresponding to environmental variations.Behavioral flexibility represents an important component of a species'adaptive capacity in the face of rapid anthropogenetic environmental change,and knowledge of animal behaviors is increasingly recognized in conservation biology.In aquatic ecosystem,variation of water depth is a key factor affecting the availability of food;thus,the foraging behaviors of many waterbirds,especially piscivores.In this study,we compared the foraging behaviors of the Scaly-sided Merganser(Mergus squamatus),an endangered migratory diving duck endemic to East Asia,in habitats with different water depths(Shallow waters:0–40 cm;Deep waters:40–300 cm),using video camera records obtained from the known wintering sites during three winters from 2018 to 2020.Further,the energy expenditure of foraging behavior profile and energy intake based on fish sizes were calculated to study the foraging energetics.In total,200 effective video footages that contained 1086 min with 17,995 behaviors and 163 events of catching fish were recorded.Results showed that:1)time length for fishing(including eye-submerging,head-dipping,diving and food handling)of M.squamatus in shallow waters was significantly more than in deep waters;2)M.squamatuss spent significantly more time for preparing(including vigilance,preening and swimming)in deep waters than in shallow waters;3)the mean catch rate was 0.28 fish/min in shallow waters,which is significantly higher than the value of 0.13 fish/min in deep waters;4)despite the distinct foraging behavior profiles and energy intakes,M.squamatus showed similar energetics in shallow and deep waters.We concluded that M.squamatus is a good example of behavioral flexibility that aligns with expectations of optimal foraging theory,in that it behaves in accordance to resource availability in different environments,resulting in high foraging efficiency.展开更多
Thermal comfort is an important factor in hostel buildings when the aim is to maximize the productivity of the students.Due to the extreme weather conditions,achieving thermal comfort in a hostel building in a hot and...Thermal comfort is an important factor in hostel buildings when the aim is to maximize the productivity of the students.Due to the extreme weather conditions,achieving thermal comfort in a hostel building in a hot and humid climate is even more difficult.Studies conducted in naturally ventilated hostel buildings in warm-humid climates involved the influence of outdoor air temperature only up to 34.4℃ and have been conducted in a specific season.In contrast,the Tiruchirappalli climate is characterized by a higher range of environmental variables.Therefore,to understand the thermal comfort conditions and usage of the environmental controls in naturally ventilated hostel buildings at the higher range of the environmental variables,a thermal comfort field study spread over one year was carried out at the National Institute of Technology,Tiruchirappalli,India,in twenty-seven hostel buildings.This study relies on field observation and thermal comfort responses from 2028 questionnaires collected from the students between September 2019 to August 2020.The analysis revealed a neutral temperature of 29.5℃ and a comfort range from 26.1℃ to 32.8℃,indicating a wide range of ther-mal adaptation than suggested by the National Building Code of India and ASHRAE standard 55.The preferred temperature was 27.8℃,indicating that students preferred a cooler environment.Acceptability with sweating conditions extended the upper limit of thermal acceptability from 31.8℃ to 32.4℃.The use of a mosquito net can increase the probability of opening a window.Results indicated that overall behavioral adjustment could extend the comfort limits.The study results would be helpful to develop guidelines and designs for naturally ventilated hostel buildings in warm and humid climates that will contribute to reducing energy demand.展开更多
This paper investigates the effect of factors on Farmers Adaptation Behavior in Water Scarcity Conditions in Rural Communities of Sabzevar,Iran.A survey questionnaire was used for collecting data,the study population ...This paper investigates the effect of factors on Farmers Adaptation Behavior in Water Scarcity Conditions in Rural Communities of Sabzevar,Iran.A survey questionnaire was used for collecting data,the study population was 120 farmers in rural Sabzevar County selected based on the Cochran formula.A questionnaire was designed for the target group for the measurement of on farm adaptation behavior in water scarcity conditions.Research models were drawn using structural equation modeling and the relationships between latent variables and indicators.The findings indicate that there is a significant relationship between awareness and adaptation behavior.Meanwhile,there is a significant relationship among network and media on farmer's perception about water scarcity and their activities toward better management of water in the critical condition.There are also significant relationships among perception and awareness with intention however,intention do not effect on adaptation behavior strongly.In other words,even the that means farmers had information about crisis,they are not able to have not operational plans to confront the water scarcity conditions.展开更多
Purpose–This paper aims to explore whether drivers would adapt their behavior when they drive among automated vehicles(AVs)compared to driving among manually driven vehicles(MVs).Understanding behavioral adaptation o...Purpose–This paper aims to explore whether drivers would adapt their behavior when they drive among automated vehicles(AVs)compared to driving among manually driven vehicles(MVs).Understanding behavioral adaptation of drivers when they encounter AVs is crucial for assessing impacts of AVs in mixed-traffic situations.Here,mixed-traffic situations refer to situations where AVs share the roads with existing nonautomated vehicles such as conventional MVs.Design/methodology/approach–A driving simulator study is designed to explore whether such behavioral adaptations exist.Two different driving scenarios were explored on a three-lane highway:driving on the main highway and merging from an on-ramp.For this study,18 research participants were recruited.Findings–Behavioral adaptation can be observed in terms of car-following speed,car-following time gap,number of lane change and overall driving speed.The adaptations are dependent on the driving scenario and whether the surrounding traffic was AVs or MVs.Although significant differences in behavior were found in more than 90%of the research participants,they adapted their behavior differently,and thus,magnitude of the behavioral adaptation remains unclear.Originality/value–The observed behavioral adaptations in this paper were dependent on the driving scenario rather than the time gap between surrounding vehicles.This finding differs from previous studies,which have shown that drivers tend to adapt their behaviors with respect to the surrounding vehicles.Furthermore,the surrounding vehicles in this study are more“free flow’”compared to previous studies with a fixed formation such as platoons.Nevertheless,long-term observations are required to further support this claim.展开更多
Computational performance-driven design optimization(CPDDO)informs early building design decisions,enhancing projects’responsiveness to local climates.This paper reviews recent CPDDO studies,identifies prevalent gaps...Computational performance-driven design optimization(CPDDO)informs early building design decisions,enhancing projects’responsiveness to local climates.This paper reviews recent CPDDO studies,identifies prevalent gaps,and proposes a refined optimization framework.The framework stands out by:(1)integrating view quality alongside energy,daylight,and thermal comfort considerations,with a vector-simulation-based metric considering content,access and clarity;(2)incorporating users’adaptive behavior patterns in simulations;and(3)employing a hybrid weighting method to accommodate diverse project demands and support robust design decisions.This study applies the framework to optimize the shape and facade variables of a medium-sized office building in Guangzhou,Chongqing,Qingdao,Lanzhou,and Changchun,representing hot,warm,mixed,cool,and cold climates,respectively.Results highlight that geometry features(aspect ratio,orientation,window-to-wall ratio(WWR),and shading devices),as well as window and blinds constructions significantly impact energy,daylight,thermal comfort and view quality.Different climatic conditions,objective priorities,and facade orientations necessitate tailored design variables.Furthermore,certain findings challenge conventional recommendations;for instance,buildings in colder climates benefit from increased WWR,due to enhanced potential to harness solar radiation and improved view access,while high-performance envelope thermal settings mitigate heat transfer.These findings underscore the need for detailed,targeted research in early-stage design.The developed CPDDO framework proves effective and user-friendly,offering new possibilities for optimizing building performance,thus holds the potential to foster green,comfortable,and sustainable architecture in various practical applications.展开更多
Throughout the progress of epidemic scenarios,individuals in different health classes are expected to have different average daily contact behavior.This contact heterogeneity has been studied in recent adaptive models...Throughout the progress of epidemic scenarios,individuals in different health classes are expected to have different average daily contact behavior.This contact heterogeneity has been studied in recent adaptive models and allows us to capture the inherent differences across health statuses better.Diseases with reinfection bring out more complex scenarios and offer an important application to consider contact disaggregation.Therefore,we developed a nonlinear differential equation model to explore the dynamics of relapse phenomena and contact differences across health statuses.Our incidence rate function is formulated,taking inspiration from recent adaptive algorithms.It incorporates contact behavior for individuals in each health class.We use constant contact rates at each health status for our analytical results and prove conditions for different forward-backward bifurcation scenarios.The relationship between the different contact rates heavily in-fluences these conditions.Numerical examples highlight the effect of temporarily recov-ered individuals and initial conditions on infected population persistence.展开更多
Based on the characteristics of colony emer-gence of artificial organisms,their dynamic interaction with the environment,and the food-chain crucial to the life system,the rules of local activities of artificial organ-...Based on the characteristics of colony emer-gence of artificial organisms,their dynamic interaction with the environment,and the food-chain crucial to the life system,the rules of local activities of artificial organ-isms at different levels are defined.The article proposes an artificial life-based algorithm,which is referred to as the food-chain algorithm.This algorithm optimizes computa-tion by simulating the evolution of natural ecosystems and the information processing mechanism of natural organ-isms.The definition,idea and flow of the algorithm are introduced,and relevant rules on metabolic energy and change in the surroundings where artificial-life individuals live are depicted.Furthermore,key parameters of the algorithm are systematically analyzed.Test results show that the algorithm has quasi-life traits that include being autonomous,evolutionary,and self-adaptive.These traits are highly fit for optimization problems of life-like sys-tems such as the location-allocation problem of a distri-bution network system.展开更多
基金supported by the Zhejiang Provincial Natural Science Foundation of China(No.LGF20H090015)。
文摘Intelligence quotient(IQ)and adaptive behavior are the influencing factors of autism spectrum disorder(ASD)in children entering mainstream schools.This study explored the association between parental education level,IQ,and adaptive behavior in ASD groups.A total of 257 school-age ASD children were enrolled in our study from January 2017 to June 2021.Their parents completed a standard demographic form,including age at autism diagnosis,gender,school placement,and parents’educational background.The Chinese version of the Wechsler Intelligence Scale for Children,Fourth Edition(WISC-IV)was completed by a certified assessor for each enrolled child.Parents were interviewed on adaptive behavior using the Chinese version of the Adaptive Behavior Assessment System,Second Edition(ABAS-II).The average IQ of school-age ASD children was 76.88(standard deviation(SD)=22.62)and boys had higher IQ levels than girls.The IQ was positively correlated with age.The General Adaptive Composite(GAC)score was 82.47(SD=15.86)and adaptive behavior did not increase with age.ASD children who attended mainstream schools had better adaptive behavior profiles than other children.The mother’s education level showed a significant correlation with the IQ and adaptive behavior of autistic children,while the father’s education level did not.Consequently,better training and support for parents may help autistic children enter mainstream schools,with adaptive training being the most urgently required skill for parents.
基金supported in part by the National Natural Science Foundation of China under Grant 62001126 and Grant 52378092in part by the Guangdong Basic and Applied Basic Research Foundation(Project No.2021A1515110455).
文摘By analyzing thermal adaptive behavior(TAB),we can access the occupant’s thermal comfort in real time and control the heating,ventilation,and air conditioning(HVAC)system accordingly to reduce energy consumption in buildings.Most existing methods are based on wearable devices or cameras to collect occupant behavioral information.Although these methods can effectively identify occupant behavior,they have the problem of violating user privacy.With the development of wireless technologies,human activity recognition using WiFi has the advantages of being non-invasive,privacy-friendly,and light-independent.Therefore,non-invasive TAB recognition based on WiFi technology holds great promise in human thermal comfort.However,existing research on TAB recognition based on WiFi technology lacks comprehensive and consistent conclusions.Thus,in this paper,we have surveyed the literature in recent years to guide in this area.In addition,we present the challenges and future perspectives faced by existing WiFi-based TAB technologies,e.g.,developing high-quality WiFi sensing datasets to advance the field of human thermal comfort.We hope this review will guide researchers in recognizing the great promise of WiFi sensing applications for TAB recognition in smart buildings.
基金supported by the Second Scientific Expedition to the Qinghai‒Xizang Plateau(Grant No.2019QZKK0405-05)method-ological support from the State Key Program of the National Natural Science Foundation of China(Grant No.72033005)is also appreciated greatly.
文摘Global warming has led to the frequent occurrence of extreme climatic events(ECEs)in the ecologically frag ile Qinghai-Xizang Plateau.Rural households face strong barriers in adaption,and food production is seriously threatened.Current methods for increasing household adaptability take a holistic point of view,but do not ac curately identify groups experiencing different adaptive barriers.To better identify different barriers,this paper examines natural,economic,cognitive,and technical barriers.A total of 17 indicators were selected to com prehensively evaluate the degree of barriers to crops adaptation in response to ECEs.Key factors were further analyzed to identify paths to break down the barriers.The results showed the following.(1)Natural barriers were present at the highest degree,economic barriers appear to be smallest,and the overall barriers were bi ased towards the lower quartile.10.82%of the households with the highest barriers.(2)67.38%of households report taking adaptive measures in crops production.The increase of the barriers leads to an increase and then a decrease in the possibility of adaptive behavior.(3)Addressing technical barriers is key to rapidly increasing household adaptive behavior in response to ECEs.The study provides recommendations for local governments to improve household adaptation behavior from two perspectives:short-term and long-term optimization path ways.This study can help governments quickly locate households with different classes of barriers,and propose more targeted adaptation policies.The ultimate goal is to ensure the sustainability of crops production and the well-being of households in northeastern part of the Qinghai-Xizang Plateau.
基金supported by the National Social Science Foundation of China[Grant Number.19XJY007].
文摘Climate change is a global issue that poses a significant risk to the global economy and therefore warrants coordinated collective action.Employing a questionnaire survey in China,this study presents urban residents'behavioral response to climate change and its influencing factors.The results indicated that urban residents in Tianjin often took low-cost,intuitive,and quickly implementable actions,namely behavioral coping responses.Proactive adaptive behavior was also evident,which involved greater financial investment.Furthermore,according to regression analysis results of urban residents'behavior and its influencing factors,knowledge of climate change manifested a positive correlation with urban residents'behavioral coping response.In contrast,cost manifested a negative correlation with urban residents'proactive adaptive behavior,which was a more complex,costly,and challenging anticipatory action.Knowledge of climate change manifested a positive correlation with both behavioral coping response and proactive adaptive behavior.Finally,recommendations for encouraging beneficial behaviors among urban residents are suggested.
基金We would like to thank the following organizations for providing funds for this study:FAPESB(RED0045/2014,JCB0026/2016)CNPq(443249/2014-8,465767/2014-1)CAPES(23038.000776/2017-54).
文摘Urbanization has dramatic impacts on natural habitats and such changes may potentially drive local adaptation of urban populations.Behavioral change has been specifically shown to facilitate the fast adaptation of birds to changing environments,but few studies have investigated the genetic mechanisms of this process.Such investigations could provide insights into questions about both evolutionary theory and management of urban populations.In this study,we investigated whether local adaptation has occurred in urban populations of a Neotropical bird species,Coereba flaveola,specifically addressing whether observed behavioral adaptations are correlated to genetic signatures of natural selection.To answer this question,we sampled 24 individuals in urban and rural environments,and searched for selected loci through a genome-scan approach based on RADseq genomic data,generated and assembled using a reference genome for the species.We recovered 46 loci as putative selection outliers,and 30 of them were identified as associated with biological processes possibly related to urban adaptation,such as the regulation of energetic metabolism,regulation of genetic expression,and changes in the immunological system.Moreover,genes involved in the development of the nervous system showed signatures of selection,suggesting a link between behavioral and genetic adaptations.Our findings,in conjunction with similar results in previous studies,support the idea that cities provide a similar selective pressure on urban populations and that behavioral plasticity may be enhanced through genetic changes in urban populations.
基金This work was supported by the Dampier Bunbury Pipeline,Perth,Western AustraliaThe Peregrine Fund,Boise IDthe Department of Biodiversity,Conservation and Attractions,Western Australia.J.S.was supported by the Australian Government Research Training Program Scholarship.
文摘Rapid learning in the young of most endothermic animals can be expected to be favored by natural selection because early independence reduces the period of vulnerability.Cases of comparatively slow juvenile development continue,therefore,to attract scientific attention.In most species of birds,including raptors,the young depend on their parents for some time after fledging for the provisioning of food and for protection while they learn to become nutritionally and otherwise independent.Among raptors,post-fledging dependence periods that exceed 6 months are exclusive to the largest species and these have reproductive cycles that exceed 12 months.By contrast,young of the medium-sized grey falcon Falco hypoleucos have been reported in close company with their parents up to 12 months after fledging,that is,at a time when the adults are expected to breed again.We investigated the occurrence and characteristics of prolonged adult–juvenile association relative to other falcons and similar-sized raptors.We found that the behavioral development of grey falcon young is extremely delayed,and that they even depend nutritionally on their parents for up to 12 months after fledging.We suggest that these 2 distinctive features are,ultimately,adaptations of the grey falcon to its extreme environment,Australia’s arid and semi-arid zone,one of the hottest environments in the world.
基金supported by the National Natural Science Foundation of China(42472036)。
文摘The Tibetan Plateau,the highest and largest plateau on Earth,is characterized by low oxygen pressure,limited primary productivity,a cold climate,and high ecological fragility[1].Conventional wisdom has long suggested that human settlement in this highaltitude region occurred relatively late in the global expansion of modern humans,likely during the terminal Pleistocene or Early to Middle Holocene[2].However,recent studies have pushed back the first human occupation of the Tibetan Plateau to the early part of Late Pleistocene or even the later Middle Pleistocene.These studies have also suggested that archaic hominins—specifically Denisovans—rather than modern humans,were the first pioneers of the plateau[3,4].
文摘The emergence of adventure tourism is indicative of a process of commodification commensurate with the expansive mechanisms of the hospitality industry.The tension between excitement,thrill,and safety is on-going however and the emergence of climbing walls in urban areas has provided new ways of becoming a climber:It is in the interests of climbing as business to normalise pay-to-climb conditions.Such overt commercial connections are anathema to real climbers;nevertheless the convenience of climbing walls means they are well populated and used.The present study investigates the attitudes and methods of engagement by a group of older climbers who,for the most part,started climbing in their youth before climbing walls were commonplace.A typology of climbing types is presented as a framework for discussion.The methodology is ethnographic and the findings suggest that,despite subscribing to an organic and outdoor adventure climbing ethos in their youth,this group remains active and adventurously inclined as they consider wall-climbing to be making a positive contribution to their present collective identity.
基金Projects(51378119,51578150)supported by the National Natural Science Foundation of China
文摘Advanced traveler information systems （ATIS） can not only improve drivers＇ accessibility to the more accurate route travel time information, but also can improve drivers＇ adaptability to the stochastic network capacity degradations. In this paper, a mixed stochastic user equilibrium model was proposed to describe the interactive route choice behaviors between ATIS equipped and unequipped drivers on a degradable transport network. In the proposed model the information accessibility of equipped drivers was reflected by lower degree of uncertainty in their stochastic equilibrium flow distributions, and their behavioral adaptability was captured by multiple equilibrium behaviors over the stochastic network state set. The mixed equilibrium model was formulated as a fixed point problem defined in the mixed route flows, and its solution was achieved by executing an iterative algorithm. Numerical experiments were provided to verify the properties of the mixed network equilibrium model and the efficiency of the iterative algorithm.
基金supported by the Fundamental Research Funds for the Central Universities(BLX202147)the Joint Fund for Regional Innovation and Development of NSFC(U22A20563).
文摘Throughout evolutionary history,animals are finely tuned to adjust their behaviors corresponding to environmental variations.Behavioral flexibility represents an important component of a species'adaptive capacity in the face of rapid anthropogenetic environmental change,and knowledge of animal behaviors is increasingly recognized in conservation biology.In aquatic ecosystem,variation of water depth is a key factor affecting the availability of food;thus,the foraging behaviors of many waterbirds,especially piscivores.In this study,we compared the foraging behaviors of the Scaly-sided Merganser(Mergus squamatus),an endangered migratory diving duck endemic to East Asia,in habitats with different water depths(Shallow waters:0–40 cm;Deep waters:40–300 cm),using video camera records obtained from the known wintering sites during three winters from 2018 to 2020.Further,the energy expenditure of foraging behavior profile and energy intake based on fish sizes were calculated to study the foraging energetics.In total,200 effective video footages that contained 1086 min with 17,995 behaviors and 163 events of catching fish were recorded.Results showed that:1)time length for fishing(including eye-submerging,head-dipping,diving and food handling)of M.squamatus in shallow waters was significantly more than in deep waters;2)M.squamatuss spent significantly more time for preparing(including vigilance,preening and swimming)in deep waters than in shallow waters;3)the mean catch rate was 0.28 fish/min in shallow waters,which is significantly higher than the value of 0.13 fish/min in deep waters;4)despite the distinct foraging behavior profiles and energy intakes,M.squamatus showed similar energetics in shallow and deep waters.We concluded that M.squamatus is a good example of behavioral flexibility that aligns with expectations of optimal foraging theory,in that it behaves in accordance to resource availability in different environments,resulting in high foraging efficiency.
文摘Thermal comfort is an important factor in hostel buildings when the aim is to maximize the productivity of the students.Due to the extreme weather conditions,achieving thermal comfort in a hostel building in a hot and humid climate is even more difficult.Studies conducted in naturally ventilated hostel buildings in warm-humid climates involved the influence of outdoor air temperature only up to 34.4℃ and have been conducted in a specific season.In contrast,the Tiruchirappalli climate is characterized by a higher range of environmental variables.Therefore,to understand the thermal comfort conditions and usage of the environmental controls in naturally ventilated hostel buildings at the higher range of the environmental variables,a thermal comfort field study spread over one year was carried out at the National Institute of Technology,Tiruchirappalli,India,in twenty-seven hostel buildings.This study relies on field observation and thermal comfort responses from 2028 questionnaires collected from the students between September 2019 to August 2020.The analysis revealed a neutral temperature of 29.5℃ and a comfort range from 26.1℃ to 32.8℃,indicating a wide range of ther-mal adaptation than suggested by the National Building Code of India and ASHRAE standard 55.The preferred temperature was 27.8℃,indicating that students preferred a cooler environment.Acceptability with sweating conditions extended the upper limit of thermal acceptability from 31.8℃ to 32.4℃.The use of a mosquito net can increase the probability of opening a window.Results indicated that overall behavioral adjustment could extend the comfort limits.The study results would be helpful to develop guidelines and designs for naturally ventilated hostel buildings in warm and humid climates that will contribute to reducing energy demand.
文摘This paper investigates the effect of factors on Farmers Adaptation Behavior in Water Scarcity Conditions in Rural Communities of Sabzevar,Iran.A survey questionnaire was used for collecting data,the study population was 120 farmers in rural Sabzevar County selected based on the Cochran formula.A questionnaire was designed for the target group for the measurement of on farm adaptation behavior in water scarcity conditions.Research models were drawn using structural equation modeling and the relationships between latent variables and indicators.The findings indicate that there is a significant relationship between awareness and adaptation behavior.Meanwhile,there is a significant relationship among network and media on farmer's perception about water scarcity and their activities toward better management of water in the critical condition.There are also significant relationships among perception and awareness with intention however,intention do not effect on adaptation behavior strongly.In other words,even the that means farmers had information about crisis,they are not able to have not operational plans to confront the water scarcity conditions.
基金the Swedish Governmental Agency for Innovation Systems(Vinnovagrant no.2018-02891).
文摘Purpose–This paper aims to explore whether drivers would adapt their behavior when they drive among automated vehicles(AVs)compared to driving among manually driven vehicles(MVs).Understanding behavioral adaptation of drivers when they encounter AVs is crucial for assessing impacts of AVs in mixed-traffic situations.Here,mixed-traffic situations refer to situations where AVs share the roads with existing nonautomated vehicles such as conventional MVs.Design/methodology/approach–A driving simulator study is designed to explore whether such behavioral adaptations exist.Two different driving scenarios were explored on a three-lane highway:driving on the main highway and merging from an on-ramp.For this study,18 research participants were recruited.Findings–Behavioral adaptation can be observed in terms of car-following speed,car-following time gap,number of lane change and overall driving speed.The adaptations are dependent on the driving scenario and whether the surrounding traffic was AVs or MVs.Although significant differences in behavior were found in more than 90%of the research participants,they adapted their behavior differently,and thus,magnitude of the behavioral adaptation remains unclear.Originality/value–The observed behavioral adaptations in this paper were dependent on the driving scenario rather than the time gap between surrounding vehicles.This finding differs from previous studies,which have shown that drivers tend to adapt their behaviors with respect to the surrounding vehicles.Furthermore,the surrounding vehicles in this study are more“free flow’”compared to previous studies with a fixed formation such as platoons.Nevertheless,long-term observations are required to further support this claim.
基金supported by grants from the National Natural Science Foundation of China(No.52108015).
文摘Computational performance-driven design optimization(CPDDO)informs early building design decisions,enhancing projects’responsiveness to local climates.This paper reviews recent CPDDO studies,identifies prevalent gaps,and proposes a refined optimization framework.The framework stands out by:(1)integrating view quality alongside energy,daylight,and thermal comfort considerations,with a vector-simulation-based metric considering content,access and clarity;(2)incorporating users’adaptive behavior patterns in simulations;and(3)employing a hybrid weighting method to accommodate diverse project demands and support robust design decisions.This study applies the framework to optimize the shape and facade variables of a medium-sized office building in Guangzhou,Chongqing,Qingdao,Lanzhou,and Changchun,representing hot,warm,mixed,cool,and cold climates,respectively.Results highlight that geometry features(aspect ratio,orientation,window-to-wall ratio(WWR),and shading devices),as well as window and blinds constructions significantly impact energy,daylight,thermal comfort and view quality.Different climatic conditions,objective priorities,and facade orientations necessitate tailored design variables.Furthermore,certain findings challenge conventional recommendations;for instance,buildings in colder climates benefit from increased WWR,due to enhanced potential to harness solar radiation and improved view access,while high-performance envelope thermal settings mitigate heat transfer.These findings underscore the need for detailed,targeted research in early-stage design.The developed CPDDO framework proves effective and user-friendly,offering new possibilities for optimizing building performance,thus holds the potential to foster green,comfortable,and sustainable architecture in various practical applications.
基金support from the Research Center in Pure and Applied Mathematics and the Department of Mathematics at Universidad de Costa Rica.
文摘Throughout the progress of epidemic scenarios,individuals in different health classes are expected to have different average daily contact behavior.This contact heterogeneity has been studied in recent adaptive models and allows us to capture the inherent differences across health statuses better.Diseases with reinfection bring out more complex scenarios and offer an important application to consider contact disaggregation.Therefore,we developed a nonlinear differential equation model to explore the dynamics of relapse phenomena and contact differences across health statuses.Our incidence rate function is formulated,taking inspiration from recent adaptive algorithms.It incorporates contact behavior for individuals in each health class.We use constant contact rates at each health status for our analytical results and prove conditions for different forward-backward bifurcation scenarios.The relationship between the different contact rates heavily in-fluences these conditions.Numerical examples highlight the effect of temporarily recov-ered individuals and initial conditions on infected population persistence.
基金supported by the National Natural Science Foundation of China(Grant Nos.70431003,70571077,75103012).
文摘Based on the characteristics of colony emer-gence of artificial organisms,their dynamic interaction with the environment,and the food-chain crucial to the life system,the rules of local activities of artificial organ-isms at different levels are defined.The article proposes an artificial life-based algorithm,which is referred to as the food-chain algorithm.This algorithm optimizes computa-tion by simulating the evolution of natural ecosystems and the information processing mechanism of natural organ-isms.The definition,idea and flow of the algorithm are introduced,and relevant rules on metabolic energy and change in the surroundings where artificial-life individuals live are depicted.Furthermore,key parameters of the algorithm are systematically analyzed.Test results show that the algorithm has quasi-life traits that include being autonomous,evolutionary,and self-adaptive.These traits are highly fit for optimization problems of life-like sys-tems such as the location-allocation problem of a distri-bution network system.
