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 ai...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.展开更多
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 distur...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.展开更多
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 c...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.展开更多
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 versi...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.展开更多
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 t...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.展开更多
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 he...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.展开更多
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 communi...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.展开更多
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 patientst...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.展开更多
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
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 fore...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.展开更多
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 ...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.展开更多
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 virtualiz...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.展开更多
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.
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 worl...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.展开更多
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...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.展开更多
基金funded by the National Non Profit Research Institutions of the Chinese Academy of Forestry(CAFYBB2020ZB008)National Natural Science Foundation of China(32371936)the Research Projects in Anhui Universities in 2022(natural sciences)(2022AH051874).
文摘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.
文摘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.
文摘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.
基金funded by the 2023 Australian Studies Program of Foundation for Australian Studies in China(Project Fund No.ABN23151021037).
文摘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.
文摘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.
文摘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.
基金funded by the Deanship for Research&Innovation,Ministry of Education in Saudi Arabia,for funding this research work through Project Number:IFP22UQU4281768DSR145.
文摘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.
文摘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.
文摘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
文摘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.
基金Taif University Researchers are supporting project number(TURSP-2020/211),Taif University,Taif,Saudi Arabia.
文摘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.
文摘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.
文摘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.
文摘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.
文摘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.