Sathurukondan situated within the urban area of Batticaloa and adjacent to Batticaloa lagoon. This area lies in the migrant route disperse from the entry points from Eastern and Andaman route. This area is locally not...Sathurukondan situated within the urban area of Batticaloa and adjacent to Batticaloa lagoon. This area lies in the migrant route disperse from the entry points from Eastern and Andaman route. This area is locally notable for their bird diversity as well as being a major habitat in Batticaloa. Blooming of urbanization causing drastic reduction of the mangrove forest is the main threat to these birds diversity due to their habitat loss. Considering that, the objective of this study was to determine the taxonomic composition and abundance of water and wading bird in this area. Point transact method was used to count the birds, and the counting was taken monthly. A total of 8,893 records of 65 species representing 36 families were recorded from July 2015 to July 2016. Simpson＇s diversity index and Shannon index in this area are about 0.95 and 3.34, respectively, showing the high diversity of this area. Migrant birds, such as common sandpiper （Actitis hypoleucos L.）, marsh sandpiper （Tringa stagnatilis B.）, common greenshank （Tringa nebularia G.） and other important species, such as lesser adjutant （Leptoptilos javanicus H.）, spot-bill pelican （Pelecanus philippensis G.） and near threatened jungle owlet （Glaucidium radiatum T.） were noted. This area contributes notably to the local avian biodiversity and has the ecotourism potential. It conceals the need of the conservation of this area.展开更多
Haemosporidian parasites are widespread among birds globally,with impacts ranging from severe disease to negligible effects,particularly in host species that have coevolved with their parasites.Despite their ecologica...Haemosporidian parasites are widespread among birds globally,with impacts ranging from severe disease to negligible effects,particularly in host species that have coevolved with their parasites.Despite their ecological importance,the divereity and prevalence of these parasites in the Afrotropical region remain poorly understood,especially in urban environments.Our study investigated the prevalence and diversity of haemosporidian parasites in Afrotropical avian hosts,focusing on differences between urban and non-urban habitats.We screened 95birds from various species in Nigeria and investigated whether urbanization is associated with chan ges in the prevalence and richness of lineages of three haemosporidian parasites(Haemoproteus,Plasmodium,and Leucocytozoon).We found a haemosporidian prevalence of 36.8%with genus-specific differences between urban and non-urban habitats.The probability of Haemoproteus infection was higher in urban than non-urban habitats,but Plasmodium and Leucocytozoon did not differ between these habitats.Moreover,Haemoproteus lineages were exclusively found in urban habitats,while most Plasmodium lineages were restricted to non-urban habitats.Notably,we expanded the knowledge on diversity of haemosporidian lineages and avian hosts in the Afrotropics,with the first-ever record of hPYNJOC1 and pLUME2 lineages for the region,and the addition of new hosts for four Haemoproteus and two Plasmodium lineages.Our findings highlight the complexity of host-parasite relationships and the need for further research into the dynamics of haemosporidian parasites in Afrotropical avian hosts inhabiting diverse habitats.Overall,our study contributes to a better understanding of the prevalence,diversity,and distribution of haemosporidian parasites in the Afrotropics,emphasizing the importance of continued surveillance and monitoring to inform strategies for avian conservation and management.展开更多
Habitat loss driven by land-use change is a major factor shaping the dynamics of urban bird community structures.However,the potential mechanisms by which the spatial configuration and composition of blue-green infras...Habitat loss driven by land-use change is a major factor shaping the dynamics of urban bird community structures.However,the potential mechanisms by which the spatial configuration and composition of blue-green infrastructure,recognized as biodiversity hotspots in urban landscapes,influence urban bird beta diversity remain insufficiently understood.This study was conducted in the built-up area of Yinchuan,an internationally recognized wetland city in Northwest China.From December 2023 to June 2024,we systematically surveyed bird communities during both the breeding and wintering periods across 29 blue-green space mosaics.We quantified taxonomic,functional,and phylogenetic beta diversity,along with their turnover component and nestedness-resultant component,based on both pairwise beta diversity and multiple-site beta diversity.We further assessed the relative importance of landscape variables and spatial geographic distance in shaping beta diversity patterns and used hierarchical modeling of species communities(HMSC)to explore the responses of bird occurrence and functional traits to landscape variables.Our results revealed that species turnover was the dominant driver of taxonomic,functional,and phylogenetic beta diversity.Seasonal differences were observed in the effects of spatial geographic distance and landscape structure on beta diversity and its components,with landscape variables showing higher explanatory power than geographic isolation.In the breeding period,landscape diversity and waterbody area had positive effects on bird occurrence,whereas in the wintering period,most landscape features—except for landscape diversity—exerted neutral or negative influences.Regarding functional traits,we found that reproductive traits,flight ability,and foraging characteristics responded significantly to landscape structure,and that some small-bodied species active in aerial and canopy layers were more adaptable to habitat fragmentation.This study provides novel insights into the assembly processes and driving mechanisms of urban bird communities and offers scientific support for the notion that designing and maintaining blue-green infrastructure can contribute to urban biodiversity conservation.展开更多
Migratory divides,where individuals from distinct breeding populations within a species exhibit divergent migratory routes and strategies,play a critical role in shaping avian ecology and evolution.These divides can d...Migratory divides,where individuals from distinct breeding populations within a species exhibit divergent migratory routes and strategies,play a critical role in shaping avian ecology and evolution.These divides can drive intraspecific genetic divergence and promote reproductive isolation,potentially leading to population differentiation and speciation.Understanding the migration strategies of populations utilizing distinct flyways is essential not only for elucidating the mechanisms underlying migration patterns but also for informing effective species conservation efforts.From 2014 to 2023,we used satellite tracking to monitor the migration patterns of 87 White-naped Cranes(Antigone vipio)from the species'two breeding populations—western(Mongolia)and eastern(Songnen Plain,China).We delineated their migratory routes,quantified key migration parameters,and identified their population-and season-specific differences in migratory strategies.Our results indicate that the Greater Khingan Mountains and the Bohai-Yellow Sea formed a distinct migratory barrier separating the eastern and western populations.Significant differences in migration strategies were observed between populations and seasons.The western population adopts a"longer-distance,slower-speed,more-stopover"strategy,while the eastern population employs a"shorter-distance,higher-speed,fewer-stopover"strategy.Our study identifies the migratory divides between the two populations of White-naped Cranes and highlights the importance of migratory divides in shaping distinct migration strategies.These findings enhance our understanding of the factors driving population-specific migration strategies and provide a foundation for tailored conservation efforts for these populations.展开更多
Understanding how diet and host phylogeny shape gut microbiota is fundamental to elucidating host-microbe interactions in extreme environments.The Qinghai-Tibet Plateau(QTP),characterized by harsh conditions,provides ...Understanding how diet and host phylogeny shape gut microbiota is fundamental to elucidating host-microbe interactions in extreme environments.The Qinghai-Tibet Plateau(QTP),characterized by harsh conditions,provides a natural laboratory for examining these relationships among sympatric species.Here,we investigated the dietary composition and gut microbiota of six passerine species inhabiting the QTP,comprising two endemic residents(White-rumped Snowfinch Onychostruthus taczanowskii and Ground Tit Pseudopodoces humilis),two nonendemic residents(Rock Sparrow Petronia petronia and Eurasian Tree Sparrow Passer montanus),and two nonendemic migratory species(Twite Linaria flavirostris and Black Redstart Phoenicurus ochruros),using highthroughput 18S and 16S rRNA sequencing.Our results revealed that dietary composition—dominated by Archaeplastida,Metazoa,Fungi,and the SAR supergroup—exhibited no significant interspecific variation,reflecting a high degree of trophic niche overlap.Although the overall diet was similar across species,the relative abundances of certain dietary components independently influenced specific microbial taxa.In particular,dietary Archaeplastida and Fungi showed phylogeny-independent positive correlations with 16 and 3 microbial genera,respectively,revealing fine-scale diet-microbiota associations.Evidence of phylosymbiosis was detected,as closely related species harbored more similar microbial communities driven by species-specific microbial biomarkers.Notably,our results suggested deterministic processes played a stronger role in endemic species,whereas stochastic community assembly dominated in non-endemic species,indicating distinct assembly mechanisms shaped by biogeographic history.Overall,this study reveals that while dietary similarity promotes convergent trophic niches among sympatric passerines,host phylogeny exerts a stronger influence on gut microbiota composition and assembly.These findings underline the synergistic roles of diet-microbiota interactions and phylosymbiosis dynamics as key adaptive strategies that enable birds to cope with the extreme environments of the QTP.展开更多
In recent years bird hunting has become a topical issue in public debate in Poland.Some organizations and communities actively engaged in nature conservation efforts propose a complete ban on hunting,arguing it needs ...In recent years bird hunting has become a topical issue in public debate in Poland.Some organizations and communities actively engaged in nature conservation efforts propose a complete ban on hunting,arguing it needs to be introduced for ethical reasons and to ensure a more effective species protection.This discussion frequently involves cases when hunters break the law,illustrated by photographs published on social media,documenting culling of legally protected species.In response hunters mention the need to verify the sources and the context for published materials.展开更多
Waterbird populations are declining globally due to various factors such as wetland degradation and loss,pesticide use,urbanization,and hunting.However,traditional farming practices and wetlands still provide importan...Waterbird populations are declining globally due to various factors such as wetland degradation and loss,pesticide use,urbanization,and hunting.However,traditional farming practices and wetlands still provide important habitats for the large waterbirds in South Asia,including Nepal.These habitats become especially limited during the summer season,when wetlands dry up,and most farmlands remain fallow.We investigated the occupancy and detection probabilities of four sympatric,large-bodied,threatened waterbirds(Sarus Crane Grus antigone,Lesser Adjutant Leptoptilos javanicus,Asian Openbill Anastomus oscitans,and Asian Woollyneck Ciconia episcopus)using road count survey,and their relationship with land-use variables across 93(5×5 km)grids during summer season(April-May;pre-breeding season)of 2023 in the Greater Lumbini Area of Nepal.Detection probability was highest for the Sarus Crane,while occupancy was highest for the Lesser Adjutant.In contrast,the Asian Woollyneck had the lowest occupancy and detection probability.Waterbird occupancy was highest within the Jagdishpur Reservoir/Lumbini Farmlands Important Bird and Biodiversity Area.Farmland area had a significant positive effect on the occupancy for all waterbirds except the Asian Woollyneck.Wetland and built-up areas had significant positive effects on the occupancy of Sarus Crane,but showed non-significant positive associations for other species.Such positive association with built-up areas may reflect some level of adaptation to human-dominated landscapes;however,increased urbanization could disrupt natural behaviors and elevate exposure to anthropogenic threats in future.Therefore,maintaining waterholes and irrigation networks across farmland during the summer season is imperative for safeguarding threatened waterbirds as these areas can function as critical habitats and potential buffers against the adverse impacts of expanding built-up regions.展开更多
Fang Chuxiong’s works combine the meticulousness of fine brushwork with the elegance of freehand brushstrokes,making him a distinct figure in the contemporary Chinese art circle.Fang Chuxiong is a representative figu...Fang Chuxiong’s works combine the meticulousness of fine brushwork with the elegance of freehand brushstrokes,making him a distinct figure in the contemporary Chinese art circle.Fang Chuxiong is a representative figure in the field of contemporary Chinese flower-and-bird painting.His artwork masterfully integrates the elements of nature,the charm of living creatures,the subtleties of brushwork,and the vitality of color,exhibiting refined taste and a vibrant style.展开更多
The collection and annotation of lar ge-scale bird datasets are resource-intensive and time-consuming processes that significantly limit the scalability and accuracy of biodiversity monitoring systems.While self-super...The collection and annotation of lar ge-scale bird datasets are resource-intensive and time-consuming processes that significantly limit the scalability and accuracy of biodiversity monitoring systems.While self-supervised learning(SSL)has emerged as a promising approach for leveraging unannotated data,current SSL methods face two critical challenges in bird species recognition:(1)long-tailed data distributions that result in poor performance on underrepresented species;and(2)domain shift issues caused by data augmentation strategies designed to mitigate class imbalance.Here we present SDNet,a novel SSL-based bird recognition framework that integrates diffusion models with large language models(LLMs)to overcome these limitations.SDNet employs LLMs to generate semantically rich textual descriptions for tail-class species by prompting the models with species taxonomy,morphological attributes,and habitat information,producing detailed natural language priors that capture fine-grained visual characteristics(e.g.,plumage patterns,body proportions,and distinctive markings).These textual descriptions are subsequently used by a conditional diffusion model to synthesize new bird image samples through cross-attention mechanisms that fuse textual embeddings with intermediate visual feature representations during the denoising process,ensuring generated images preserve species-specific morphological details while maintaining photorealistic quality.Additionally,we incorporate a Swin Transformer as the feature extraction backbone whose hierarchical window-based attention mechanism and shifted windowing scheme enable multi-scale local feature extraction that proves particularly effective at capturing finegrained discriminative patterns(such as beak shape and feather texture)while mitigating domain shift between synthetic and original images through consistent feature representations across both data sources.SDNet is validated on both a self-constructed dataset(Bird_BXS)an d a publicly available benchmark(Birds_25),demonstrating substantial improvements over conventional SSL approaches.Our results indicate that the synergistic integration of LLMs,diffusion models,and the Swin Transformer architecture contributes significantly to recognition accuracy,particularly for rare and morphologically similar species.These findings highlight the potential of SDNet for addressing fundamental limitations of existing SSL methods in avian recognition tasks and establishing a new paradigm for efficient self-supervised learning in large-scale ornithological vision applications.展开更多
Optimization is the key to obtaining efficient utilization of resources in structural design.Due to the complex nature of truss systems,this study presents a method based on metaheuristic modelling that minimises stru...Optimization is the key to obtaining efficient utilization of resources in structural design.Due to the complex nature of truss systems,this study presents a method based on metaheuristic modelling that minimises structural weight under stress and frequency constraints.Two new algorithms,the Red Kite Optimization Algorithm(ROA)and Secretary Bird Optimization Algorithm(SBOA),are utilized on five benchmark trusses with 10,18,37,72,and 200-bar trusses.Both algorithms are evaluated against benchmarks in the literature.The results indicate that SBOA always reaches a lighter optimal.Designs with reducing structural weight ranging from 0.02%to 0.15%compared to ROA,and up to 6%–8%as compared to conventional algorithms.In addition,SBOA can achieve 15%–20%faster convergence speed and 10%–18%reduction in computational time with a smaller standard deviation over independent runs,which demonstrates its robustness and reliability.It is indicated that the adaptive exploration mechanism of SBOA,especially its Levy flight–based search strategy,can obviously improve optimization performance for low-and high-dimensional trusses.The research has implications in the context of promoting bio-inspired optimization techniques by demonstrating the viability of SBOA,a reliable model for large-scale structural design that provides significant enhancements in performance and convergence behavior.展开更多
Lin Shuran and her husband Fang Chuxiang are exceptional artists who are often mentioned together when talking about contemporary Lingnan art.Compared to her husband’s fame in the field of flower-andbird painting,Lin...Lin Shuran and her husband Fang Chuxiang are exceptional artists who are often mentioned together when talking about contemporary Lingnan art.Compared to her husband’s fame in the field of flower-andbird painting,Lin shows unique artistic sensitivity as a female inheritor of the Lingnan School and quietly preserves the cultural lineage of Lingnan painting.展开更多
Monitoring waterbirds is vital for evaluating the ecological health of wetlands,and object detection offers an automated solution for identifying birds in monitoring imagery.However,conventional detection methods ofte...Monitoring waterbirds is vital for evaluating the ecological health of wetlands,and object detection offers an automated solution for identifying birds in monitoring imagery.However,conventional detection methods often overlook the multi-scale nature of bird targets,limiting their ability to capture rich contextual information across different scales.To address this,we propose a cross-dimensional attention network(CDA-Net)for bird detection that integrates spatial and channel information to improve species recognition.The proposed CDA-Net partitions feature maps into multiple channel wise sub-features.Spatial and channel attention are applied to each subfeature,and the resulting features are fused using the Hadamard product.The fused features are then forwarded to the detection head to generate the final detection results.This approach effectively captures and integrates information across spatial and channel dimensions.Experiments on our self-constructed Nanhai Wetland Waterbird Dataset and the public CUB-200-2011 dataset yield precision scores of 91.32%and 81.99%,respectively,outperforming existing methods.Our approach effectively handles scale variation in bird detection and provides a valuable tool for advancing automated wetland waterbird monitoring.展开更多
基于BEV(bird’s eye view)多传感器融合的自动驾驶感知算法近年来取得重大进展,持续促进自动驾驶的发展。在多传感器融合感知算法研究中,多视角图像向BEV视角的转换和多模态特征融合一直是BEV感知算法的重点和难点。笔者提出MSEPE-CRN(...基于BEV(bird’s eye view)多传感器融合的自动驾驶感知算法近年来取得重大进展,持续促进自动驾驶的发展。在多传感器融合感知算法研究中,多视角图像向BEV视角的转换和多模态特征融合一直是BEV感知算法的重点和难点。笔者提出MSEPE-CRN(multi-scale feature fusion and edge and point enhancement-camera radar net),一种用于3D目标检测的相机与毫米波雷达融合感知算法,利用边缘特征和点云提高深度预测的精度,实现多视角图像向BEV特征的精确转换。同时,引入多尺度可变形大核注意力机制进行模态融合,解决因不同传感器特征差异过大导致的错位。在nuScenes开源数据集上的实验结果表明,与基准网络相比,mAP提升2.17%、NDS提升1.93%、mATE提升2.58%、mAOE提升8.08%、mAVE提升2.13%,该算法可有效提高车辆对路面上运动障碍物的感知能力,具有实用价值。展开更多
The Himalayan monal(Lophophorus impejanus),Nepal’s national bird,is a protected species facing significant conservation challenges.Understanding the distribution and habitat preferences of the Himalayan monal(HM)is c...The Himalayan monal(Lophophorus impejanus),Nepal’s national bird,is a protected species facing significant conservation challenges.Understanding the distribution and habitat preferences of the Himalayan monal(HM)is crucial for its conservation.This study was conducted in the Langtang National Park(LNP),Nepal using the route census method during both winter(November/December 2022)and summer(June 2023)seasons to examine the seasonal variation in HM’s elevational distribution and habitat preference.Further,we assessed their conservation threats by conducting a semi-structured questionnaire survey with the local residents.During the winter period,the HMs preferred grassland habitats,while in the summer,their preference shifted to shrubland and barren area.HM abundance was negatively associated with the Normalized Differential Vegetation Index(NDVI)and the shortest distance from the survey trails in the winter.The HMs actively avoided areas with high anthropogenic pressure.In the summer,they showed a wider elevational range up to 4400 m above sea level(a.s.l.),with a higher sighting frequency between 3600 and 3900 m a.s.l.The questionnaire survey of the local residents revealed that anthropogenic pressure such as poaching and free-ranging livestock grazing are the major threats to the species in the study area.This study provides valuable insight into the complex habitat preferences and critical threats faced by the HMs in LNP and underscores the urgent need for targeted conservation action.展开更多
Wetland degradation is an escalating global challenge with profound impacts on animal diversity,particularly during successional processes.Birds,as highly mobile and environmentally sensitive organisms,serve as effect...Wetland degradation is an escalating global challenge with profound impacts on animal diversity,particularly during successional processes.Birds,as highly mobile and environmentally sensitive organisms,serve as effective indicators of ecological change.While previous studies have primarily focused on local community structures and species diversity during a specific season,there is a need to extend the research timeframe and explore broader spatial variations.Additionally,expanding from simple species diversity indices to more multidimensional diversity indices would provide a more comprehensive understanding of wetland health and resilience.To address these gaps,we investigated the effects of wetland degradation on bird diversity across taxonomic,phylogenetic,and functional dimensions in the Zoige Wetland,a plateau meadow wetland biodiversity hotspot.Surveys were conducted during both breeding(summer)and overwintering(winter)seasons across 20 transects in 5 sampling areas,representing 4 degradation levels(pristine,low,medium,and high).Our study recorded a total of 106 bird species from 32 families and 14 orders,revealing distinct seasonal patterns in bird community composition and diversity.Biodiversity indices were significantly higher in pristine and low-degraded wetlands,particularly benefiting waterfowl(Anseriformes,Ciconiiformes)and wading birds(Charadriiformes)in winter,when these areas provided superior food resources and habitat conditions.In contrast,medium and highly degraded wetlands supported increased numbers of terrestrial birds(Passeriformes)and raptors(Accipitriformes,Falconiformes).Seasonal differences in taxonomic,phylogenetic,and functional diversity indices highlighted the contrasting ecological roles of wetlands during breeding and overwintering periods.Furthermore,indicator species analysis revealed key species associated with specific degradation levels and seasons,providing valuable insights into wetland health.This study underscores the importance of spatiotemporal dynamics in understanding avian responses to wetland degradation.By linking seasonal patterns of bird diversity to habitat conditions,our findings contribute to conservation efforts and provide a framework for assessing wetland degradation and its ecological impacts.展开更多
Bird vocalizations are pivotal for ecological monitoring,providing insights into biodiversity and ecosystem health.Traditional recognition methods often neglect phase information,resulting in incomplete feature repres...Bird vocalizations are pivotal for ecological monitoring,providing insights into biodiversity and ecosystem health.Traditional recognition methods often neglect phase information,resulting in incomplete feature representation.In this paper,we introduce a novel approach to bird vocalization recognition(BVR)that integrates both amplitude and phase information,leading to enhanced species identification.We propose MHARes Net,a deep learning(DL)model that employs residual blocks and a multi-head attention mechanism to capture salient features from logarithmic power(POW),Instantaneous Frequency(IF),and Group Delay(GD)extracted from bird vocalizations.Experiments on three bird vocalization datasets demonstrate our method's superior performance,achieving accuracy rates of 94%,98.9%,and 87.1%respectively.These results indicate that our approach provides a more effective representation of bird vocalizations,outperforming existing methods.This integration of phase information in BVR is innovative and significantly advances the field of automatic bird monitoring technology,offering valuable tools for ecological research and conservation efforts.展开更多
Passive acoustic monitoring(PAM)technology is increasingly becoming one of the mainstream methods for bird monitoring.However,detecting bird audio within complex natural acoustic environments using PAM devices remains...Passive acoustic monitoring(PAM)technology is increasingly becoming one of the mainstream methods for bird monitoring.However,detecting bird audio within complex natural acoustic environments using PAM devices remains a significant challenge.To enhance the accuracy(ACC)of bird audio detection(BAD)and reduce both false negatives and false positives,this study proposes a BAD method based on a Dual-Feature Enhancement Fusion Model(DFEFM).This method incorporates per-channel energy normalization(PCEN)to suppress noise in the input audio and utilizes mel-frequency cepstral coefficients(MFCC)and frequency correlation matrices(FCM)as input features.It achieves deep feature-level fusion of MFCC and FCM on the channel dimension through two independent multi-layer convolutional network branches,and further integrates Spatial and Channel Synergistic Attention(SCSA)and Multi-Head Attention(MHA)modules to enhance the fusion effect of the aforementioned two deep features.Experimental results on the DCASE2018 BAD dataset show that our proposed method achieved an ACC of 91.4%and an AUC value of 0.963,with false negative and false positive rates of 11.36%and 7.40%,respectively,surpassing existing methods.The method also demonstrated detection ACC above 92%and AUC values above 0.987 on datasets from three sites of different natural scenes in Beijing.Testing on the NVIDIA Jetson Nano indicated that the method achieved an ACC of 89.48%when processing an average of 10 s of audio,with a response time of only 0.557 s,showing excellent processing efficiency.This study provides an effective method for filtering non-bird vocalization audio in bird vocalization monitoring devices,which helps to save edge storage and information transmission costs,and has significant application value for wild bird monitoring and ecological research.展开更多
The rapid advent in artificial intelligence and big data has revolutionized the dynamic requirement in the demands of the computing resource for executing specific tasks in the cloud environment.The process of achievi...The rapid advent in artificial intelligence and big data has revolutionized the dynamic requirement in the demands of the computing resource for executing specific tasks in the cloud environment.The process of achieving autonomic resource management is identified to be a herculean task due to its huge distributed and heterogeneous environment.Moreover,the cloud network needs to provide autonomic resource management and deliver potential services to the clients by complying with the requirements of Quality-of-Service(QoS)without impacting the Service Level Agreements(SLAs).However,the existing autonomic cloud resource managing frameworks are not capable in handling the resources of the cloud with its dynamic requirements.In this paper,Coot Bird Behavior Model-based Workload Aware Autonomic Resource Management Scheme(CBBM-WARMS)is proposed for handling the dynamic requirements of cloud resources through the estimation of workload that need to be policed by the cloud environment.This CBBM-WARMS initially adopted the algorithm of adaptive density peak clustering for workloads clustering of the cloud.Then,it utilized the fuzzy logic during the process of workload scheduling for achieving the determining the availability of cloud resources.It further used CBBM for potential Virtual Machine(VM)deployment that attributes towards the provision of optimal resources.It is proposed with the capability of achieving optimal QoS with minimized time,energy consumption,SLA cost and SLA violation.The experimental validation of the proposed CBBMWARMS confirms minimized SLA cost of 19.21%and reduced SLA violation rate of 18.74%,better than the compared autonomic cloud resource managing frameworks.展开更多
Dear Editor,The highly pathogenic avian influenza viruses(HPAIVs)are important epizootic and zoonotic pathogens that cause significant economic losses to the poultry industry and pose a serious risk to veterinary and ...Dear Editor,The highly pathogenic avian influenza viruses(HPAIVs)are important epizootic and zoonotic pathogens that cause significant economic losses to the poultry industry and pose a serious risk to veterinary and public health.Wild birds have been recognized as the primary reservoirs for influenza A virus,and some species show little sign of clinical disease or even can be asymptomatic during long distance carriers of the virus(Lycett et al.,2019).Since it was first discovered in 1959,the H5Nx HPAIVs have spread globally and cause outbreaks in wild birds,poultry and sporadic human and other mammalian infections(Lycett et al.,2019).Due to the reassortant events of diverse strains facilitated by migratory waterfowl,the clade 2.3.4.4 of H5Nx viruses acquiring neuraminidase(NA)gene from other low pathogenicity avian influenza viruses(LPAIVs)emerged in 2014 and gradually became the dominant sub-clade(Lee et al.,2017).展开更多
The park-level integrated energy system(PIES)is essential for achieving carbon neutrality by managing multi-energy supply and demand while enhancing renewable energy integration.However,current carbon trading mechanis...The park-level integrated energy system(PIES)is essential for achieving carbon neutrality by managing multi-energy supply and demand while enhancing renewable energy integration.However,current carbon trading mechanisms lack sufficient incentives for emission reductions,and traditional optimization algorithms often face challenges with convergence and local optima in complex PIES scheduling.To address these issues,this paper introduces a low-carbon dispatch strategy that combines a reward-penalty tiered carbon trading model with P2G-CCS integration,hydrogen utilization,and the Secretary Bird Optimization Algorithm(SBOA).Key innovations include:(1)A dynamic reward-penalty carbon trading mechanism with coefficients(μ=0.2,λ=0.15),which reduces carbon trading costs by 47.2%(from$694.06 to$366.32)compared to traditional tiered models,incentivizing voluntary emission reductions.(2)The integration of P2G-CCS coupling,which lowers natural gas consumption by 41.9%(from$4117.20 to$2389.23)and enhances CO_(2) recycling efficiency,addressing the limitations of standalone P2G or CCS technologies.(3)TheSBOA algorithm,which outperforms traditionalmethods(e.g.,PSO,GWO)in convergence speed and global search capability,avoiding local optima and achieving 24.39%faster convergence on CEC2005 benchmark functions.(4)A four-energy PIES framework incorporating electricity,heat,gas,and hydrogen,where hydrogen fuel cells and CHP systems improve demand response flexibility,reducing gas-related emissions by 42.1%and generating$13.14 in demand response revenue.Case studies across five scenarios demonstrate the strategy’s effectiveness:total operational costs decrease by 14.7%(from$7354.64 to$6272.59),carbon emissions drop by 49.9%(from 5294.94 to 2653.39kg),andrenewable energyutilizationincreases by24.39%(from4.82%to8.17%).These results affirmthemodel’s ability to reconcile economic and environmental goals,providing a scalable approach for low-carbon transitions in industrial parks.展开更多
文摘Sathurukondan situated within the urban area of Batticaloa and adjacent to Batticaloa lagoon. This area lies in the migrant route disperse from the entry points from Eastern and Andaman route. This area is locally notable for their bird diversity as well as being a major habitat in Batticaloa. Blooming of urbanization causing drastic reduction of the mangrove forest is the main threat to these birds diversity due to their habitat loss. Considering that, the objective of this study was to determine the taxonomic composition and abundance of water and wading bird in this area. Point transact method was used to count the birds, and the counting was taken monthly. A total of 8,893 records of 65 species representing 36 families were recorded from July 2015 to July 2016. Simpson＇s diversity index and Shannon index in this area are about 0.95 and 3.34, respectively, showing the high diversity of this area. Migrant birds, such as common sandpiper （Actitis hypoleucos L.）, marsh sandpiper （Tringa stagnatilis B.）, common greenshank （Tringa nebularia G.） and other important species, such as lesser adjutant （Leptoptilos javanicus H.）, spot-bill pelican （Pelecanus philippensis G.） and near threatened jungle owlet （Glaucidium radiatum T.） were noted. This area contributes notably to the local avian biodiversity and has the ecotourism potential. It conceals the need of the conservation of this area.
基金APLORI Foundations funded this study as part of the Ph D project awarded to A.G.Awoyemifunded by the Spanish Ministry of Science and Innovation(PID2019-107423GA-I00/SRA+1 种基金State Research Agency/10.13039/501100011033)supported by a postdoctoral contract from the University of Granada(‘Contrato Puente’UGR)。
文摘Haemosporidian parasites are widespread among birds globally,with impacts ranging from severe disease to negligible effects,particularly in host species that have coevolved with their parasites.Despite their ecological importance,the divereity and prevalence of these parasites in the Afrotropical region remain poorly understood,especially in urban environments.Our study investigated the prevalence and diversity of haemosporidian parasites in Afrotropical avian hosts,focusing on differences between urban and non-urban habitats.We screened 95birds from various species in Nigeria and investigated whether urbanization is associated with chan ges in the prevalence and richness of lineages of three haemosporidian parasites(Haemoproteus,Plasmodium,and Leucocytozoon).We found a haemosporidian prevalence of 36.8%with genus-specific differences between urban and non-urban habitats.The probability of Haemoproteus infection was higher in urban than non-urban habitats,but Plasmodium and Leucocytozoon did not differ between these habitats.Moreover,Haemoproteus lineages were exclusively found in urban habitats,while most Plasmodium lineages were restricted to non-urban habitats.Notably,we expanded the knowledge on diversity of haemosporidian lineages and avian hosts in the Afrotropics,with the first-ever record of hPYNJOC1 and pLUME2 lineages for the region,and the addition of new hosts for four Haemoproteus and two Plasmodium lineages.Our findings highlight the complexity of host-parasite relationships and the need for further research into the dynamics of haemosporidian parasites in Afrotropical avian hosts inhabiting diverse habitats.Overall,our study contributes to a better understanding of the prevalence,diversity,and distribution of haemosporidian parasites in the Afrotropics,emphasizing the importance of continued surveillance and monitoring to inform strategies for avian conservation and management.
基金supported by the National Natural Science Foundation of China(32401409)the Central Government’s Special Fund for National Key Protected Wildlife Conservation Projects in Yinchuan City(HXCG-ZC2023148,XZ-2024-16)。
文摘Habitat loss driven by land-use change is a major factor shaping the dynamics of urban bird community structures.However,the potential mechanisms by which the spatial configuration and composition of blue-green infrastructure,recognized as biodiversity hotspots in urban landscapes,influence urban bird beta diversity remain insufficiently understood.This study was conducted in the built-up area of Yinchuan,an internationally recognized wetland city in Northwest China.From December 2023 to June 2024,we systematically surveyed bird communities during both the breeding and wintering periods across 29 blue-green space mosaics.We quantified taxonomic,functional,and phylogenetic beta diversity,along with their turnover component and nestedness-resultant component,based on both pairwise beta diversity and multiple-site beta diversity.We further assessed the relative importance of landscape variables and spatial geographic distance in shaping beta diversity patterns and used hierarchical modeling of species communities(HMSC)to explore the responses of bird occurrence and functional traits to landscape variables.Our results revealed that species turnover was the dominant driver of taxonomic,functional,and phylogenetic beta diversity.Seasonal differences were observed in the effects of spatial geographic distance and landscape structure on beta diversity and its components,with landscape variables showing higher explanatory power than geographic isolation.In the breeding period,landscape diversity and waterbody area had positive effects on bird occurrence,whereas in the wintering period,most landscape features—except for landscape diversity—exerted neutral or negative influences.Regarding functional traits,we found that reproductive traits,flight ability,and foraging characteristics responded significantly to landscape structure,and that some small-bodied species active in aerial and canopy layers were more adaptable to habitat fragmentation.This study provides novel insights into the assembly processes and driving mechanisms of urban bird communities and offers scientific support for the notion that designing and maintaining blue-green infrastructure can contribute to urban biodiversity conservation.
基金supported by the National Natural Science Foundation of China(No.31770573)。
文摘Migratory divides,where individuals from distinct breeding populations within a species exhibit divergent migratory routes and strategies,play a critical role in shaping avian ecology and evolution.These divides can drive intraspecific genetic divergence and promote reproductive isolation,potentially leading to population differentiation and speciation.Understanding the migration strategies of populations utilizing distinct flyways is essential not only for elucidating the mechanisms underlying migration patterns but also for informing effective species conservation efforts.From 2014 to 2023,we used satellite tracking to monitor the migration patterns of 87 White-naped Cranes(Antigone vipio)from the species'two breeding populations—western(Mongolia)and eastern(Songnen Plain,China).We delineated their migratory routes,quantified key migration parameters,and identified their population-and season-specific differences in migratory strategies.Our results indicate that the Greater Khingan Mountains and the Bohai-Yellow Sea formed a distinct migratory barrier separating the eastern and western populations.Significant differences in migration strategies were observed between populations and seasons.The western population adopts a"longer-distance,slower-speed,more-stopover"strategy,while the eastern population employs a"shorter-distance,higher-speed,fewer-stopover"strategy.Our study identifies the migratory divides between the two populations of White-naped Cranes and highlights the importance of migratory divides in shaping distinct migration strategies.These findings enhance our understanding of the factors driving population-specific migration strategies and provide a foundation for tailored conservation efforts for these populations.
基金supported by the National Key Research and Development Program of China(2024YFC2310303)the National Natural Science Foundation of China(NSFC,No.32471572)awarded to D.L.+1 种基金NSFC(No.32171490)awarded to Y.W.Hebei Natural Science Foundation(HNSF,C2021204059)awarded to Y.S。
文摘Understanding how diet and host phylogeny shape gut microbiota is fundamental to elucidating host-microbe interactions in extreme environments.The Qinghai-Tibet Plateau(QTP),characterized by harsh conditions,provides a natural laboratory for examining these relationships among sympatric species.Here,we investigated the dietary composition and gut microbiota of six passerine species inhabiting the QTP,comprising two endemic residents(White-rumped Snowfinch Onychostruthus taczanowskii and Ground Tit Pseudopodoces humilis),two nonendemic residents(Rock Sparrow Petronia petronia and Eurasian Tree Sparrow Passer montanus),and two nonendemic migratory species(Twite Linaria flavirostris and Black Redstart Phoenicurus ochruros),using highthroughput 18S and 16S rRNA sequencing.Our results revealed that dietary composition—dominated by Archaeplastida,Metazoa,Fungi,and the SAR supergroup—exhibited no significant interspecific variation,reflecting a high degree of trophic niche overlap.Although the overall diet was similar across species,the relative abundances of certain dietary components independently influenced specific microbial taxa.In particular,dietary Archaeplastida and Fungi showed phylogeny-independent positive correlations with 16 and 3 microbial genera,respectively,revealing fine-scale diet-microbiota associations.Evidence of phylosymbiosis was detected,as closely related species harbored more similar microbial communities driven by species-specific microbial biomarkers.Notably,our results suggested deterministic processes played a stronger role in endemic species,whereas stochastic community assembly dominated in non-endemic species,indicating distinct assembly mechanisms shaped by biogeographic history.Overall,this study reveals that while dietary similarity promotes convergent trophic niches among sympatric passerines,host phylogeny exerts a stronger influence on gut microbiota composition and assembly.These findings underline the synergistic roles of diet-microbiota interactions and phylosymbiosis dynamics as key adaptive strategies that enable birds to cope with the extreme environments of the QTP.
文摘In recent years bird hunting has become a topical issue in public debate in Poland.Some organizations and communities actively engaged in nature conservation efforts propose a complete ban on hunting,arguing it needs to be introduced for ethical reasons and to ensure a more effective species protection.This discussion frequently involves cases when hunters break the law,illustrated by photographs published on social media,documenting culling of legally protected species.In response hunters mention the need to verify the sources and the context for published materials.
文摘Waterbird populations are declining globally due to various factors such as wetland degradation and loss,pesticide use,urbanization,and hunting.However,traditional farming practices and wetlands still provide important habitats for the large waterbirds in South Asia,including Nepal.These habitats become especially limited during the summer season,when wetlands dry up,and most farmlands remain fallow.We investigated the occupancy and detection probabilities of four sympatric,large-bodied,threatened waterbirds(Sarus Crane Grus antigone,Lesser Adjutant Leptoptilos javanicus,Asian Openbill Anastomus oscitans,and Asian Woollyneck Ciconia episcopus)using road count survey,and their relationship with land-use variables across 93(5×5 km)grids during summer season(April-May;pre-breeding season)of 2023 in the Greater Lumbini Area of Nepal.Detection probability was highest for the Sarus Crane,while occupancy was highest for the Lesser Adjutant.In contrast,the Asian Woollyneck had the lowest occupancy and detection probability.Waterbird occupancy was highest within the Jagdishpur Reservoir/Lumbini Farmlands Important Bird and Biodiversity Area.Farmland area had a significant positive effect on the occupancy for all waterbirds except the Asian Woollyneck.Wetland and built-up areas had significant positive effects on the occupancy of Sarus Crane,but showed non-significant positive associations for other species.Such positive association with built-up areas may reflect some level of adaptation to human-dominated landscapes;however,increased urbanization could disrupt natural behaviors and elevate exposure to anthropogenic threats in future.Therefore,maintaining waterholes and irrigation networks across farmland during the summer season is imperative for safeguarding threatened waterbirds as these areas can function as critical habitats and potential buffers against the adverse impacts of expanding built-up regions.
文摘Fang Chuxiong’s works combine the meticulousness of fine brushwork with the elegance of freehand brushstrokes,making him a distinct figure in the contemporary Chinese art circle.Fang Chuxiong is a representative figure in the field of contemporary Chinese flower-and-bird painting.His artwork masterfully integrates the elements of nature,the charm of living creatures,the subtleties of brushwork,and the vitality of color,exhibiting refined taste and a vibrant style.
基金supported by the National Natural Science Foundation of China(32471964)。
文摘The collection and annotation of lar ge-scale bird datasets are resource-intensive and time-consuming processes that significantly limit the scalability and accuracy of biodiversity monitoring systems.While self-supervised learning(SSL)has emerged as a promising approach for leveraging unannotated data,current SSL methods face two critical challenges in bird species recognition:(1)long-tailed data distributions that result in poor performance on underrepresented species;and(2)domain shift issues caused by data augmentation strategies designed to mitigate class imbalance.Here we present SDNet,a novel SSL-based bird recognition framework that integrates diffusion models with large language models(LLMs)to overcome these limitations.SDNet employs LLMs to generate semantically rich textual descriptions for tail-class species by prompting the models with species taxonomy,morphological attributes,and habitat information,producing detailed natural language priors that capture fine-grained visual characteristics(e.g.,plumage patterns,body proportions,and distinctive markings).These textual descriptions are subsequently used by a conditional diffusion model to synthesize new bird image samples through cross-attention mechanisms that fuse textual embeddings with intermediate visual feature representations during the denoising process,ensuring generated images preserve species-specific morphological details while maintaining photorealistic quality.Additionally,we incorporate a Swin Transformer as the feature extraction backbone whose hierarchical window-based attention mechanism and shifted windowing scheme enable multi-scale local feature extraction that proves particularly effective at capturing finegrained discriminative patterns(such as beak shape and feather texture)while mitigating domain shift between synthetic and original images through consistent feature representations across both data sources.SDNet is validated on both a self-constructed dataset(Bird_BXS)an d a publicly available benchmark(Birds_25),demonstrating substantial improvements over conventional SSL approaches.Our results indicate that the synergistic integration of LLMs,diffusion models,and the Swin Transformer architecture contributes significantly to recognition accuracy,particularly for rare and morphologically similar species.These findings highlight the potential of SDNet for addressing fundamental limitations of existing SSL methods in avian recognition tasks and establishing a new paradigm for efficient self-supervised learning in large-scale ornithological vision applications.
文摘Optimization is the key to obtaining efficient utilization of resources in structural design.Due to the complex nature of truss systems,this study presents a method based on metaheuristic modelling that minimises structural weight under stress and frequency constraints.Two new algorithms,the Red Kite Optimization Algorithm(ROA)and Secretary Bird Optimization Algorithm(SBOA),are utilized on five benchmark trusses with 10,18,37,72,and 200-bar trusses.Both algorithms are evaluated against benchmarks in the literature.The results indicate that SBOA always reaches a lighter optimal.Designs with reducing structural weight ranging from 0.02%to 0.15%compared to ROA,and up to 6%–8%as compared to conventional algorithms.In addition,SBOA can achieve 15%–20%faster convergence speed and 10%–18%reduction in computational time with a smaller standard deviation over independent runs,which demonstrates its robustness and reliability.It is indicated that the adaptive exploration mechanism of SBOA,especially its Levy flight–based search strategy,can obviously improve optimization performance for low-and high-dimensional trusses.The research has implications in the context of promoting bio-inspired optimization techniques by demonstrating the viability of SBOA,a reliable model for large-scale structural design that provides significant enhancements in performance and convergence behavior.
文摘Lin Shuran and her husband Fang Chuxiang are exceptional artists who are often mentioned together when talking about contemporary Lingnan art.Compared to her husband’s fame in the field of flower-andbird painting,Lin shows unique artistic sensitivity as a female inheritor of the Lingnan School and quietly preserves the cultural lineage of Lingnan painting.
基金supported by the National Natural Science Foundation of China(32371874,32401569)supported by Beijing Natural Science Foundation(6244053)。
文摘Monitoring waterbirds is vital for evaluating the ecological health of wetlands,and object detection offers an automated solution for identifying birds in monitoring imagery.However,conventional detection methods often overlook the multi-scale nature of bird targets,limiting their ability to capture rich contextual information across different scales.To address this,we propose a cross-dimensional attention network(CDA-Net)for bird detection that integrates spatial and channel information to improve species recognition.The proposed CDA-Net partitions feature maps into multiple channel wise sub-features.Spatial and channel attention are applied to each subfeature,and the resulting features are fused using the Hadamard product.The fused features are then forwarded to the detection head to generate the final detection results.This approach effectively captures and integrates information across spatial and channel dimensions.Experiments on our self-constructed Nanhai Wetland Waterbird Dataset and the public CUB-200-2011 dataset yield precision scores of 91.32%and 81.99%,respectively,outperforming existing methods.Our approach effectively handles scale variation in bird detection and provides a valuable tool for advancing automated wetland waterbird monitoring.
文摘基于BEV(bird’s eye view)多传感器融合的自动驾驶感知算法近年来取得重大进展,持续促进自动驾驶的发展。在多传感器融合感知算法研究中,多视角图像向BEV视角的转换和多模态特征融合一直是BEV感知算法的重点和难点。笔者提出MSEPE-CRN(multi-scale feature fusion and edge and point enhancement-camera radar net),一种用于3D目标检测的相机与毫米波雷达融合感知算法,利用边缘特征和点云提高深度预测的精度,实现多视角图像向BEV特征的精确转换。同时,引入多尺度可变形大核注意力机制进行模态融合,解决因不同传感器特征差异过大导致的错位。在nuScenes开源数据集上的实验结果表明,与基准网络相比,mAP提升2.17%、NDS提升1.93%、mATE提升2.58%、mAOE提升8.08%、mAVE提升2.13%,该算法可有效提高车辆对路面上运动障碍物的感知能力,具有实用价值。
基金an MSc thesis research grant from the Zoological Society of London(ZSL)Nepal.RCK’s effort was supported in part by the Office of Research Infrastructure Programs(ORIP)of the National Institutes of Health through grant number P51OD010425 to the Washington National Primate Research Center,USA。
文摘The Himalayan monal(Lophophorus impejanus),Nepal’s national bird,is a protected species facing significant conservation challenges.Understanding the distribution and habitat preferences of the Himalayan monal(HM)is crucial for its conservation.This study was conducted in the Langtang National Park(LNP),Nepal using the route census method during both winter(November/December 2022)and summer(June 2023)seasons to examine the seasonal variation in HM’s elevational distribution and habitat preference.Further,we assessed their conservation threats by conducting a semi-structured questionnaire survey with the local residents.During the winter period,the HMs preferred grassland habitats,while in the summer,their preference shifted to shrubland and barren area.HM abundance was negatively associated with the Normalized Differential Vegetation Index(NDVI)and the shortest distance from the survey trails in the winter.The HMs actively avoided areas with high anthropogenic pressure.In the summer,they showed a wider elevational range up to 4400 m above sea level(a.s.l.),with a higher sighting frequency between 3600 and 3900 m a.s.l.The questionnaire survey of the local residents revealed that anthropogenic pressure such as poaching and free-ranging livestock grazing are the major threats to the species in the study area.This study provides valuable insight into the complex habitat preferences and critical threats faced by the HMs in LNP and underscores the urgent need for targeted conservation action.
基金supported by the Southwest Minzu University Research Startup Funds (No.16011221038,RQD2022021)Double World-Class Project (No.CX2023010)。
文摘Wetland degradation is an escalating global challenge with profound impacts on animal diversity,particularly during successional processes.Birds,as highly mobile and environmentally sensitive organisms,serve as effective indicators of ecological change.While previous studies have primarily focused on local community structures and species diversity during a specific season,there is a need to extend the research timeframe and explore broader spatial variations.Additionally,expanding from simple species diversity indices to more multidimensional diversity indices would provide a more comprehensive understanding of wetland health and resilience.To address these gaps,we investigated the effects of wetland degradation on bird diversity across taxonomic,phylogenetic,and functional dimensions in the Zoige Wetland,a plateau meadow wetland biodiversity hotspot.Surveys were conducted during both breeding(summer)and overwintering(winter)seasons across 20 transects in 5 sampling areas,representing 4 degradation levels(pristine,low,medium,and high).Our study recorded a total of 106 bird species from 32 families and 14 orders,revealing distinct seasonal patterns in bird community composition and diversity.Biodiversity indices were significantly higher in pristine and low-degraded wetlands,particularly benefiting waterfowl(Anseriformes,Ciconiiformes)and wading birds(Charadriiformes)in winter,when these areas provided superior food resources and habitat conditions.In contrast,medium and highly degraded wetlands supported increased numbers of terrestrial birds(Passeriformes)and raptors(Accipitriformes,Falconiformes).Seasonal differences in taxonomic,phylogenetic,and functional diversity indices highlighted the contrasting ecological roles of wetlands during breeding and overwintering periods.Furthermore,indicator species analysis revealed key species associated with specific degradation levels and seasons,providing valuable insights into wetland health.This study underscores the importance of spatiotemporal dynamics in understanding avian responses to wetland degradation.By linking seasonal patterns of bird diversity to habitat conditions,our findings contribute to conservation efforts and provide a framework for assessing wetland degradation and its ecological impacts.
基金supported by the Beijing Natural Science Foundation (5252014)the National Natural Science Foundation of China (62303063)。
文摘Bird vocalizations are pivotal for ecological monitoring,providing insights into biodiversity and ecosystem health.Traditional recognition methods often neglect phase information,resulting in incomplete feature representation.In this paper,we introduce a novel approach to bird vocalization recognition(BVR)that integrates both amplitude and phase information,leading to enhanced species identification.We propose MHARes Net,a deep learning(DL)model that employs residual blocks and a multi-head attention mechanism to capture salient features from logarithmic power(POW),Instantaneous Frequency(IF),and Group Delay(GD)extracted from bird vocalizations.Experiments on three bird vocalization datasets demonstrate our method's superior performance,achieving accuracy rates of 94%,98.9%,and 87.1%respectively.These results indicate that our approach provides a more effective representation of bird vocalizations,outperforming existing methods.This integration of phase information in BVR is innovative and significantly advances the field of automatic bird monitoring technology,offering valuable tools for ecological research and conservation efforts.
基金supported by the Beijing Natural Science Foundation(5252014)the National Natural Science Foundation of China(62303063)。
文摘Passive acoustic monitoring(PAM)technology is increasingly becoming one of the mainstream methods for bird monitoring.However,detecting bird audio within complex natural acoustic environments using PAM devices remains a significant challenge.To enhance the accuracy(ACC)of bird audio detection(BAD)and reduce both false negatives and false positives,this study proposes a BAD method based on a Dual-Feature Enhancement Fusion Model(DFEFM).This method incorporates per-channel energy normalization(PCEN)to suppress noise in the input audio and utilizes mel-frequency cepstral coefficients(MFCC)and frequency correlation matrices(FCM)as input features.It achieves deep feature-level fusion of MFCC and FCM on the channel dimension through two independent multi-layer convolutional network branches,and further integrates Spatial and Channel Synergistic Attention(SCSA)and Multi-Head Attention(MHA)modules to enhance the fusion effect of the aforementioned two deep features.Experimental results on the DCASE2018 BAD dataset show that our proposed method achieved an ACC of 91.4%and an AUC value of 0.963,with false negative and false positive rates of 11.36%and 7.40%,respectively,surpassing existing methods.The method also demonstrated detection ACC above 92%and AUC values above 0.987 on datasets from three sites of different natural scenes in Beijing.Testing on the NVIDIA Jetson Nano indicated that the method achieved an ACC of 89.48%when processing an average of 10 s of audio,with a response time of only 0.557 s,showing excellent processing efficiency.This study provides an effective method for filtering non-bird vocalization audio in bird vocalization monitoring devices,which helps to save edge storage and information transmission costs,and has significant application value for wild bird monitoring and ecological research.
文摘The rapid advent in artificial intelligence and big data has revolutionized the dynamic requirement in the demands of the computing resource for executing specific tasks in the cloud environment.The process of achieving autonomic resource management is identified to be a herculean task due to its huge distributed and heterogeneous environment.Moreover,the cloud network needs to provide autonomic resource management and deliver potential services to the clients by complying with the requirements of Quality-of-Service(QoS)without impacting the Service Level Agreements(SLAs).However,the existing autonomic cloud resource managing frameworks are not capable in handling the resources of the cloud with its dynamic requirements.In this paper,Coot Bird Behavior Model-based Workload Aware Autonomic Resource Management Scheme(CBBM-WARMS)is proposed for handling the dynamic requirements of cloud resources through the estimation of workload that need to be policed by the cloud environment.This CBBM-WARMS initially adopted the algorithm of adaptive density peak clustering for workloads clustering of the cloud.Then,it utilized the fuzzy logic during the process of workload scheduling for achieving the determining the availability of cloud resources.It further used CBBM for potential Virtual Machine(VM)deployment that attributes towards the provision of optimal resources.It is proposed with the capability of achieving optimal QoS with minimized time,energy consumption,SLA cost and SLA violation.The experimental validation of the proposed CBBMWARMS confirms minimized SLA cost of 19.21%and reduced SLA violation rate of 18.74%,better than the compared autonomic cloud resource managing frameworks.
基金supported by Zhejiang Province Science and Technology Cooperation Project of“Three Rural and Nine Parties”(grant number 2023SNJF059).
文摘Dear Editor,The highly pathogenic avian influenza viruses(HPAIVs)are important epizootic and zoonotic pathogens that cause significant economic losses to the poultry industry and pose a serious risk to veterinary and public health.Wild birds have been recognized as the primary reservoirs for influenza A virus,and some species show little sign of clinical disease or even can be asymptomatic during long distance carriers of the virus(Lycett et al.,2019).Since it was first discovered in 1959,the H5Nx HPAIVs have spread globally and cause outbreaks in wild birds,poultry and sporadic human and other mammalian infections(Lycett et al.,2019).Due to the reassortant events of diverse strains facilitated by migratory waterfowl,the clade 2.3.4.4 of H5Nx viruses acquiring neuraminidase(NA)gene from other low pathogenicity avian influenza viruses(LPAIVs)emerged in 2014 and gradually became the dominant sub-clade(Lee et al.,2017).
基金funded by State Grid Beijing Electric Power Company Technology Project,grant number 520210230004.
文摘The park-level integrated energy system(PIES)is essential for achieving carbon neutrality by managing multi-energy supply and demand while enhancing renewable energy integration.However,current carbon trading mechanisms lack sufficient incentives for emission reductions,and traditional optimization algorithms often face challenges with convergence and local optima in complex PIES scheduling.To address these issues,this paper introduces a low-carbon dispatch strategy that combines a reward-penalty tiered carbon trading model with P2G-CCS integration,hydrogen utilization,and the Secretary Bird Optimization Algorithm(SBOA).Key innovations include:(1)A dynamic reward-penalty carbon trading mechanism with coefficients(μ=0.2,λ=0.15),which reduces carbon trading costs by 47.2%(from$694.06 to$366.32)compared to traditional tiered models,incentivizing voluntary emission reductions.(2)The integration of P2G-CCS coupling,which lowers natural gas consumption by 41.9%(from$4117.20 to$2389.23)and enhances CO_(2) recycling efficiency,addressing the limitations of standalone P2G or CCS technologies.(3)TheSBOA algorithm,which outperforms traditionalmethods(e.g.,PSO,GWO)in convergence speed and global search capability,avoiding local optima and achieving 24.39%faster convergence on CEC2005 benchmark functions.(4)A four-energy PIES framework incorporating electricity,heat,gas,and hydrogen,where hydrogen fuel cells and CHP systems improve demand response flexibility,reducing gas-related emissions by 42.1%and generating$13.14 in demand response revenue.Case studies across five scenarios demonstrate the strategy’s effectiveness:total operational costs decrease by 14.7%(from$7354.64 to$6272.59),carbon emissions drop by 49.9%(from 5294.94 to 2653.39kg),andrenewable energyutilizationincreases by24.39%(from4.82%to8.17%).These results affirmthemodel’s ability to reconcile economic and environmental goals,providing a scalable approach for low-carbon transitions in industrial parks.
