基于DREAM算法的DSGE模型参数估计精度研究

文章将人工智能算法中的DREAM算法首次应用到动态随机一般均衡模型的参数估计中,并以动态随机一般均衡模型LS(2005)为例对该算法的估计精度进行了系统分析,研究结果表明:根据待估参数随机抽样序列的箱线图来看,由DREAM算法产生的待估参数随机抽样序列的箱体长度均比RWMH和IMH算法产生的箱体长度要长,说明由DREAM算法产生的参数估计序列的分散程度比RWMH和IMH算法要大,表明了DREAM算法遍历参数空间范围更为广泛,算法逃逸局部最优值的能力更强。另外,从箱线图中的中位数数值来看,除了5个参数以外,由DREAM算法产生的参数估计序列的中位数相比RWMH和IMH算法,与真实数据生成过程更为接近,说明由DREAM算法产生的参数估计值大部分都集中在参数的真值附近。由于DREAM算法依据IQR统计方法除去无用链,故由DREAM算法产生的参数估计序列的异常值也明显降低,而RWMH算法产生的参数估计序列的异常值尤其多。从待估参数的90%最大后验密度可信区间来看,DREAM算法产生的待估参数90%最大后验密度可信区间除了3个参数以外,其余全部包含了真值,而传统的RWMH和IMH算法分别只有7个和1个区间包含了真值,表明DREAM算法的估计不确定性远小于传统的RWMH和IMH算法。最后,根据待估参数的无效因子来看,DREAM算法产生的待估参数序列与传统的RWMH和IMH算法相比,其相关性更弱,即无效因子数值更小,这一点进一步验证了DREAM算法遍历整个参数空间的能力更强。

Butterfly taxonomic and functional diversity in the urban green spaces of Hefei city

Urbanization has profound impacts on ecological environments.Green spaces are a vital component of urban ecosystems and play a crucial role in maintaining ecologi-cal balance and enhancing sustainability.This study aimed to investigate the community composition characteristics of butterflies in urban green spaces within the context of rapid urbanization.Simultaneously,it explored the status and dif-ferences in butterfly taxonomic diversity,functional diver-sity,and functional traits among different types of urban green spaces,regions,and urban gradients to provide rel-evant insights for further improving urban green space qual-ity and promoting biodiversity conservation.We conducted a year-long survey of 80 green spaces across different urban Project funding:This work was funded by the National Non Profit Research Institutions of the Chinese Academy of Forestry(CAFYBB2020ZB008),National Natural Science Foundation of China(32371936),and the Research Projects in Anhui Universities in 2022(n atural sciences)(2022AH051874).regions and ring roads within Hefei City,Anhui Province,with monthly sampling intervals over 187 transects.A total of 4822 butterflies,belonging to 5 families,17 subfamilies,40 genera,and 55 species were identified.The species rich-ness,Shannon,Simpson,functional richness,and Rao’s quadratic entropy indices of butterflies in urban park green spaces were all significantly higher than those in residential and street green spaces(P<0.05).Differences in butterfly diversity and functional traits among different urban regions and ring roads were relatively minor,and small-sized,multi-voltine,and long flying duration butterflies dominated urban green spaces.Overall,these spaces offer more favorable hab-itats for butterflies.However,some residential green spaces and street green spaces demonstrate potential for butterfly conservation.

Impacts of Human Activities and Season on Species Diversity and Abundance of Butterflies in Mpanga Kipengere Game Reserve and Surrounding Farmlands, Tanzania

Maintaining natural habitats is crucial for the preservation of insects and other species that indicate environmental changes. However, the Mpanga/Kipengere Game Reserve and its surrounding farmlands are facing disturbance due to human activities, which is putting many wildlife species, particularly larger mammals, at risk. To determine the impact of human activities on butterfly species diversity and abundance in the reserve and its surrounding areas, we conducted a study from November 2021 to October 2023. We collected butterfly data using transect walks and baited traps in two habitat types. Our study yielded 2799 butterfly Individuals ranging in 124 species divided into five families habitat, season, and anthropogenic factors are significant environmental variables influencing species diversity and abundance of butterflies. Therefore, it’s important to protect habitat and dry-season water for the conservation of invertebrates such as butterflies. Our study findings provide essential information for ecological monitoring and future assessment of the Mpanga/Kipengere Game Reserve ecosystem health.

Translation Studies from a Cross-Cultural Perspective:Reinventing Subjectivity-A Case Study of English Translation of A Dream of Red Mansions

The integration of cross-cultural inquiries into the realm of translation has given rise to a distinct subfield known as cross-cultural translation studies.This approach emphasizes the importance of delving into the cultural subtleties and the awareness of cultural subjectivity within the translation process.Central to this framework is the concept of reshaping cultural nuances and the subjectivity of culture.This paper introduces three principal translation strategies that emerge from a cross-cultural standpoint:the alienation translation strategy,the‘cannibalism’translation strategy,and the destructive translation strategy.Utilizing the English translation of“Dream of the Red Chamber”as a case study,the paper examines how cultural nuances and cultural subjectivity influence the selection of translation strategies and demonstrates the practical application of cross-cultural research within the translation sphere.Hence,the significance of cross-cultural translation studies lies in its capacity to offer a novel lens through which to view translation studies.It encourages a reevaluation of cultural nuances and subjectivity in translation,which is of profound practical importance for advancing the field of translation studies,enhancing cross-cultural communication,and facilitating the spread of Chinese discourse on the global stage.

The Application of Embodied Cognitive Linguistics in the English Translation of Two-Part Allegorical Saying—An Analysis of Examples From A Dream of Red Mansions

As a kind of widely circulated folk language,two-part allegorical saying(“xiehouyu”)carries the wisdom of the Chinese people and is characterized with humor and vivid imagery.Taking the two English translation versions of A Dream of Red Mansions as examples,this paper analyzes the English translation of two-part allegorical saying based on the core principle of Embodied Cognitive Linguistics(ECL),“Reality-Cognition-Language”,and explores how the English translation of two-part allegorical saying reflects the three dimensions of ECL.

Living the Mechanical Dream

Studying in China is not just about academics,it is also about connecting with communities and learning local culture.As a child,I was captivated by machines and their inner workings.I yearned to design contraptions that could solve real-world problems and improve people’s lives.So,when it came time to choose a university,I knew that mechanical engineering was the path for me.

Fascination For Planes Young Ghanaian pursues her aviation dream in China

Every morning at 7 o’clock,Rachael Amoah,a young woman from Ghana,prepares for a new day of challenges and innovations at a leading aerospace company in Shanghai’s Pudong New Area.In March last year,she completed her studies in the School of Aeronautics and Astronautics at Shanghai Jiao Tong University(SJTU),and fulfilled her ambition to work in this megalopolis.

面向高阶思维培育的DREAM教学模式及应用

高阶思维是高阶能力的核心,集中体现了智能时代对人才素质的新要求.针对雷达系统课程中学员高阶思维培育难的问题,围绕“相关”或者“关联”这一高阶思维核心特征,提出了问题驱动的DREAM教学模式,给出了DREAM模式的实施过程.课堂实践表明,该模式能够有效提升学员的高阶思维能力.

基于Dream Logic的CPU仿真设计与实践

针对计算机组成原理课程中的重要实验内容“CPU设计”中存在的一些难点问题,提出引入Dream Logic仿真工具,通过CPU总体设计及CPU整机模型机中的运算器设计、指令系统设计与微指令设计示例,阐述基于Dream Logic的硬件基本部件仿真设计和软件设计方法,并结合MOV、ADD等汇编指令及计算机组成原理实验中的寄存器和算术运算实验,介绍对CPU模型机进行的实验测试,最后说明教学实践效果。

Eye-Tracking Based Autism Spectrum Disorder Diagnosis Using Chaotic Butterfly Optimization with Deep Learning Model

Autism spectrum disorder(ASD)can be defined as a neurodevelopmental condition or illness that can disturb kids who have heterogeneous characteristics,like changes in behavior,social disabilities,and difficulty communicating with others.Eye tracking(ET)has become a useful method to detect ASD.One vital aspect of moral erudition is the aptitude to have common visual attention.The eye-tracking approach offers valuable data regarding the visual behavior of children for accurate and early detection.Eye-tracking data can offer insightful information about the behavior and thought processes of people with ASD,but it is important to be aware of its limitations and to combine it with other types of data and assessment techniques to increase the precision of ASD detection.It operates by scanning the paths of eyes for extracting a series of eye projection points on images for examining the behavior of children with autism.The purpose of this research is to use deep learning to identify autistic disorders based on eye tracking.The Chaotic Butterfly Optimization technique is used to identify this specific disturbance.Therefore,this study develops an ET-based Autism Spectrum Disorder Diagnosis using Chaotic Butterfly Optimization with Deep Learning(ETASD-CBODL)technique.The presented ETASDCBODL technique mainly focuses on the recognition of ASD via the ET and DL models.To accomplish this,the ETASD-CBODL technique exploits the U-Net segmentation technique to recognize interested AREASS.In addition,the ETASD-CBODL technique employs Inception v3 feature extraction with CBO algorithm-based hyperparameter optimization.Finally,the long-shorttermmemory(LSTM)model is exploited for the recognition and classification of ASD.To assess the performance of the ETASD-CBODL technique,a series of simulations were performed on datasets from the figure-shared data repository.The experimental values of accuracy(99.29%),precision(98.78%),sensitivity(99.29%)and specificity(99.29%)showed a better performance in the ETASD-CBODL technique over recent approaches.

Dreaming and Interventional Cardiology： Case Report

Sleep and dreaming play important physiological and psychological role in human life. And though dreams playedimportant role and sometimes even changed course of mankind history, very seldom both doctors and patientstalked about it. Article is case report of precongnitive dream of patient with heart attack and analysis of populationof consecutive 100 patients admitted to hospital with heart attack in relation to presence and meaning ofprecognitive dreams. Our study proves that we can talk about precognitive dreams in population of patients withheart attack however what may be their influence on patients＇ wellbeing is matter of open questions.

Dreaming DreamsBuilding Bridges

Tall started with two dreamsan ocean apart．One dreamtook root in a public schoolclassroom at KimballElementary in Seattle,Washington．Third grade teacher,Carter Kemp,began to

Lack of Evidence for Local Adaptation of the Endangered Karner Blue Butterfly to Its Sole Larval Hostplant—The Wild Lupine

Local adaptation is an important process that drives the evolution of populations within species, and it can be generally expressed by the higher fitness of individuals raised in their native habitats versus in a foreign location. The influence of local adaptation is especially prominent in species that subsist in small and/or highly isolated populations. This study evaluated whether the federally endangered Karner blue butterfly, Lycaeides melissa samuelis (Lepidoptera: Lycaenidae) is locally adapted to its exclusive larval host plant, the wild lupine (Lupinus perennis). To test for local adaptation, individuals from a laboratory-raised colony were reared on wild lupine plants from populations belonging to either their native (Indiana) or a foreign (Michigan and Wisconsin) region. For this purpose, lupine plants from the different populations were grown in a common garden in growth chambers, and one Karner blue larva was placed on each plant. Fitness traits related to growth and development were recorded for each butterfly across populations. Days from hatching to pupation and eclosion showed gender-specific significant differences across wild lupine populations and plant genotypes (within populations). The percent survival of butterflies (from hatching to eclosion) also differed among plants from different populations. These results indicate that wild lupine sources can affect some developmental traits of Karner blue butterflies. However, growth-related traits, such as pupal and adult weight of individuals reared in plants from native populations did not differ from those of foreign regions. The apparent absence of local adaptation to wild lupine suggests that, at least, some individuals of this species could be translocated from native populations to foreign reintroduction sites without experiencing decreased fitness levels. However, future studies including more populations across the geographical range of this butterfly are recommended to evaluate other environmental factors that could influence adaptation on a wider spatial scale.

Butterfly Optimized Feature Selection with Fuzzy C-Means Classifier for Thyroid Prediction

The main task of thyroid hormones is controlling the metabolism rate of humans,the development of neurons,and the significant growth of reproductive activities.In medical science,thyroid disorder will lead to creating thyroiditis and thyroid cancer.The two main thyroid disorders are hyperthyroidism and hypothyroidism.Many research works focus on the prediction of thyroid disorder.To improve the accuracy in the classification of thyroid disorder this paper pro-poses optimization-based feature selection by using differential evolution with the Butterfly optimization algorithm(DE-BOA).For the classifier fuzzy C-means algorithm(FCM)is used.The proposed DEBOA-FCM is evaluated with para-metric metric measures of sensitivity,specificity,and accuracy.In this work,the thyroid disease dataset collected from the machine learning University of Cali-fornia Irvine(UCI)database was used.The accuracy rate for the Differential Evo-lutionary algorithm got 0.884,the Butterfly optimization algorithm got 0.906,Fuzzy C-Means algorithm got 0.899 and DEBOA+Focused Concept Miner(FCM)proposed work 0.943.

Adaptive Butterfly Optimization Algorithm(ABOA)Based Feature Selection and Deep Neural Network(DNN)for Detection of Distributed Denial-of-Service(DDoS)Attacks in Cloud

Cloud computing technology provides flexible,on-demand,and completely controlled computing resources and services are highly desirable.Despite this,with its distributed and dynamic nature and shortcomings in virtualization deployment,the cloud environment is exposed to a wide variety of cyber-attacks and security difficulties.The Intrusion Detection System(IDS)is a specialized security tool that network professionals use for the safety and security of the networks against attacks launched from various sources.DDoS attacks are becoming more frequent and powerful,and their attack pathways are continually changing,which requiring the development of new detection methods.Here the purpose of the study is to improve detection accuracy.Feature Selection(FS)is critical.At the same time,the IDS’s computational problem is limited by focusing on the most relevant elements,and its performance and accuracy increase.In this research work,the suggested Adaptive butterfly optimization algorithm(ABOA)framework is used to assess the effectiveness of a reduced feature subset during the feature selection phase,that was motivated by this motive Candidates.Accurate classification is not compromised by using an ABOA technique.The design of Deep Neural Networks(DNN)has simplified the categorization of network traffic into normal and DDoS threat traffic.DNN’s parameters can be finetuned to detect DDoS attacks better using specially built algorithms.Reduced reconstruction error,no exploding or vanishing gradients,and reduced network are all benefits of the changes outlined in this paper.When it comes to performance criteria like accuracy,precision,recall,and F1-Score are the performance measures that show the suggested architecture outperforms the other existing approaches.Hence the proposed ABOA+DNN is an excellent method for obtaining accurate predictions,with an improved accuracy rate of 99.05%compared to other existing approaches.

Common Prosperity:Making a Dream a Reality

Attaining the goal of common prosperity will require everyone to contribute.The whole-process people’s democracy needs to be matched by whole-process social responsibility.

Inspiring Stories of Chinese Dream Chasers

Chasing the Chinese Dream:Four Decades of Following China’s War on Poverty Author:William N.Brown Hardcover,224 pages Published by Springer Nature Singapore Pte Ltd.“China’s targeted poverty alleviation is the world’s only way to help the poor and reach the goals of the 2030 Agenda for Sustain-able Development.”That’s the quote on the title page of Chasing the Chinese Dream:Four Decades of Following China’s War on Poverty,coming from UN Secretary-General Antonio Guterres.

When the Swedish Passion Embraces the Chinese Dream

A Swedish dream chaser’s life adventure in Beijing.VZZT!Vzzt!It is 4 a.m.,and the vibration of his Amazfit smartwatch rouses Thomas Karlsson from his sleep.It is time to pledge the small sum of money he donates daily to charity,then head out for his 6-km morning walk,followed by some last-minute lesson preparations before class which starts at 8 a.m.