From April 8 to 9,2025,the Central Conference on Work Related to Neighboring Countries was held in Beijing.General Secretary of the Communist Party of China(CPC)Central Committee Xi Jinping systematically summarized t...From April 8 to 9,2025,the Central Conference on Work Related to Neighboring Countries was held in Beijing.General Secretary of the Communist Party of China(CPC)Central Committee Xi Jinping systematically summarized the achievements and experience of China’s neighborhood work in the new era,scientifically analyzed the situation,clarified the goals,tasks,ideas and measures for neighborhood work in the coming period,and emphasized the need to focus on building a community with a shared future with neighboring countries,striving to break new ground in neighborhood work.Facing the ever-changing international landscape,especially the surrounding environment,China needs to carry out integrated diplomacy,reshape the neighborhood environment,translate the concepts and policies of the CPC neighborhood diplomacy into diplomatic practices and achieve greater results.展开更多
The Central Conference on Work Related to Neighboring Countries held on April 8–9,2025,highlighted the importance of China's neighborhood as“a vital foundation for achieving development and prosperity,a key fron...The Central Conference on Work Related to Neighboring Countries held on April 8–9,2025,highlighted the importance of China's neighborhood as“a vital foundation for achieving development and prosperity,a key front for safeguarding national security,a priority area in managing overall diplomacy,and a crucial link in promoting the building of a community with a shared future for mankind.”展开更多
Neighborhood is an important strategic support for China to take into account both the domestic and international situations and coordinate development and security.It is also a crucial link in building a community wi...Neighborhood is an important strategic support for China to take into account both the domestic and international situations and coordinate development and security.It is also a crucial link in building a community with a shared future for mankind.China adheres to fostering an amicable,secure,and prosperous neighborhood and works with neighboring countries to create a better future.By seeking an amicable,secure,and prosperous neighborhood,following the principles of amity,sincerity,mutual benefit,and inclusiveness,and sharing weal and woe with its neighbors,China remains committed to deepening exchanges and cooperation with neighboring countries in various fields.Facing a complex and unstable international situation,China and neighboring countries jointly advocate the Asian values of peace,cooperation,openness,and inclusiveness and are committed to promoting indivisible security,common development,and shared prosperity in Asia.China has cooperated with neighboring countries to build a high-quality Belt and Road Initiative and promote global economic recovery.In the face of a critical phase where regional dynamics and global transformations are deeply intertwined,China has put forward the Asian security model,proposed the vision of com mon,comprehensive,cooperative,and sustainable security in Asia,stuck to seeking common ground while shelving differences,and advocated equal-footed consultation.China is taking the initiative to shape the regional security pattern with a positive attitude to safeguard peace and development in Asia.展开更多
Since the 18th National Congress of the Communist Party of China(CPC)in 2012,neighborhood diplomacy has been at the top of China’s diplomatic agenda with growing importance.In October 2013,the CPC Central Committee c...Since the 18th National Congress of the Communist Party of China(CPC)in 2012,neighborhood diplomacy has been at the top of China’s diplomatic agenda with growing importance.In October 2013,the CPC Central Committee convened the central conference on work related to neighboring countries,first of its kind since the founding of the People’s Republic of China,stressing“let awareness of a community with a shared future take root in the neighboring countries”.展开更多
Peripheral immunity forms the foundation of tumor immunity,while tumor immunity represents a more refined adaptation of peripheral immune responses.The tumor microenvironment(TME),a localized niche surrounding tumor c...Peripheral immunity forms the foundation of tumor immunity,while tumor immunity represents a more refined adaptation of peripheral immune responses.The tumor microenvironment(TME),a localized niche surrounding tumor cells,is inherently immunosuppressive(1,2).Effective tumor therapy necessitates the dismantling of this microenvironment,aiming to eradicate tumors from the host system.展开更多
Imbalanced multiclass datasets pose challenges for machine learning algorithms.They often contain minority classes that are important for accurate predictions.However,when the data is sparsely distributed and overlaps...Imbalanced multiclass datasets pose challenges for machine learning algorithms.They often contain minority classes that are important for accurate predictions.However,when the data is sparsely distributed and overlaps with data points fromother classes,it introduces noise.As a result,existing resamplingmethods may fail to preserve the original data patterns,further disrupting data quality and reducingmodel performance.This paper introduces Neighbor Displacement-based Enhanced Synthetic Oversampling(NDESO),a hybridmethod that integrates a data displacement strategy with a resampling technique to achieve data balance.It begins by computing the average distance of noisy data points to their neighbors and adjusting their positions toward the center before applying random oversampling.Extensive evaluations compare 14 alternatives on nine classifiers across synthetic and 20 real-world datasetswith varying imbalance ratios.This evaluation was structured into two distinct test groups.First,the effects of k-neighbor variations and distance metrics are evaluated,followed by a comparison of resampled data distributions against alternatives,and finally,determining the most suitable oversampling technique for data balancing.Second,the overall performance of the NDESO algorithm was assessed,focusing on G-mean and statistical significance.The results demonstrate that our method is robust to a wide range of variations in these parameters and the overall performance achieves an average G-mean score of 0.90,which is among the highest.Additionally,it attains the lowest mean rank of 2.88,indicating statistically significant improvements over existing approaches.This advantage underscores its potential for effectively handling data imbalance in practical scenarios.展开更多
This paper studies the emergent dynamics of a flock with nonlinear inherent dynamics under closest neighbors model.We establish sufficient frameworks for convergence to flocking in terms of initial state and system pa...This paper studies the emergent dynamics of a flock with nonlinear inherent dynamics under closest neighbors model.We establish sufficient frameworks for convergence to flocking in terms of initial state and system parameters.When the number of closest neighbors is at least half of the population,it is shown that convergence to flocking occurs regardless of the initial state provided that the Lipschitz constant of nonlinear dynamics is smaller than the coupling strength.In contrast,when this number of closest neighbors is less than half of the population,we need to impose some restrictive conditions on the initial state to ensure the emergence of flocking based on the disturbed graphs approach.Our results are applicable to both continuous and discrete time cases.Finally,the validity of our theoretical analysis is tested by numerical simulations.展开更多
This research explores the use of Fuzzy K-Nearest Neighbor(F-KNN)and Artificial Neural Networks(ANN)for predicting heart stroke incidents,focusing on the impact of feature selection methods,specifically Chi-Square and...This research explores the use of Fuzzy K-Nearest Neighbor(F-KNN)and Artificial Neural Networks(ANN)for predicting heart stroke incidents,focusing on the impact of feature selection methods,specifically Chi-Square and Best First Search(BFS).The study demonstrates that BFS significantly enhances the performance of both classifiers.With BFS preprocessing,the ANN model achieved an impressive accuracy of 97.5%,precision and recall of 97.5%,and an Receiver Operating Characteristics(ROC)area of 97.9%,outperforming the Chi-Square-based ANN,which recorded an accuracy of 91.4%.Similarly,the F-KNN model with BFS achieved an accuracy of 96.3%,precision and recall of 96.3%,and a Receiver Operating Characteristics(ROC)area of 96.2%,surpassing the performance of the Chi-Square F-KNN model,which showed an accuracy of 95%.These results highlight that BFS improves the ability to select the most relevant features,contributing to more reliable and accurate stroke predictions.The findings underscore the importance of using advanced feature selection methods like BFS to enhance the performance of machine learning models in healthcare applications,leading to better stroke risk management and improved patient outcomes.展开更多
The electrochemical reduction of nitrate(NO_(3)−)to ammonia(NH_(3))(NO3RR)represents an environmentally sustainable strategy for NH_(3)production while concurrently addressing water pollution challenges.Nevertheless,t...The electrochemical reduction of nitrate(NO_(3)−)to ammonia(NH_(3))(NO3RR)represents an environmentally sustainable strategy for NH_(3)production while concurrently addressing water pollution challenges.Nevertheless,the intrinsic complexity of this multi-step reaction severely constrains both the selectivity and efficiency of NO3RR.Copper-based electrocatalysts have been extensively investigated for NO_(3)RR but often suffer from nitrite(NO_(2)^(−))accumulation,which stems from insufficient NO_(3)^(−)adsorption strength.This limitation often leads to rapid catalyst deactivation,hindered hydrogenation pathways,and reduced overall efficiency.Herein,we report a one-step green chemical reduction method to synthesize PtCuSnCo quarternary alloy nanoparticles with homogeneously distributed elements.Under practical NO3−concentrations,the optimized catalyst exhibited an impressive Faradaic efficiency approaching 100%and an outstanding selectivity of 95.6±2.9%.Mechanistic insights uncovered that SnCo sites robustly facilitated NO_(3)^(−)adsorption,complemented by the proficiency of PtCu sites in NO3−reduction.The synergistic spatial neighborhood effect between SnCo and PtCu sites efficiently stabilizes NO_(3)^(−)deoxygenation and suppresses NO_(2)^(−)accumulation.This tandem architecture achieves a finely tuned balance between adsorption strength and deoxygenation kinetics,enabling highly selective and efficient NO3RR.Our findings emphasize the indispensable role of engineered multi-metallic catalysts in overcoming persistent challenges of NO3RR,paving the way for advanced NH3 synthesis and environmental remediation.展开更多
As an important part of China's neighborhood,Southeast Asia has always been a high priority in China's neighborhood diplomacy,playing a benchmark and example-setting role in China's drive to build a commun...As an important part of China's neighborhood,Southeast Asia has always been a high priority in China's neighborhood diplomacy,playing a benchmark and example-setting role in China's drive to build a community with a shared future with neighboring countries.Shortly after the 2025 Central Conference on Work Related to Neighboring Countries,Chinese President Xi Jinping paid state visits to Vietnam,Malaysia,and Cambodia.展开更多
The distribution of igneous rocks is closely related to hydrocarbon resources.This study utilized high-precision gravity,magnetic,and rock physical property data,employing gravity-magnetic field fusion technology and ...The distribution of igneous rocks is closely related to hydrocarbon resources.This study utilized high-precision gravity,magnetic,and rock physical property data,employing gravity-magnetic field fusion technology and Euler deconvolution technology.The objective was to identify the distribution of igneous rocks in the China Seas and neighboring regions and investigate their relationships with petroliferous basins.Our results reveal that igneous rocks are widely scattered throughout the China Seas and neighboring regions,with the highest concentration in the northwest(NW)and the second highest concentration in the east-northeast(ENE).The largest-scale igneous rocks are those with a north-south(N-S)orientation,followed by those with northeast(NE),NW,and ENE orientations.The depths of igneous rocks within petroliferous basins typically range from 3 km to 9 km and are associated with hydrocarbon resource distributions characterized by deep oil and shallow gas.The proportions of igneous rocks in different types of basins exhibit varying correlations with the total hydrocarbon resources.In particular,the proportion of igneous rocks in rift-type basins in the China Seas exhibits a strong linear correlation with the total hydrocarbon resources.These research findings provide valuable guidance for studying the relationship between igneous rock distribution and petroliferous basins,offering insights that can inform future hydrocarbon exploration endeavors.展开更多
As climate change negotiations progress,monitoring biomass and carbon stocks is becoming an important part of the current forest research.Therefore,national governments are interested in developing forest-monitoring s...As climate change negotiations progress,monitoring biomass and carbon stocks is becoming an important part of the current forest research.Therefore,national governments are interested in developing forest-monitoring strategies using geospatial technology.Among statistical methods for mapping biomass,there is a nonparametric approach called k-nearest neighbor(kNN).We compared four variations of distance metrics of the kNN for the spatially-explicit estimation of aboveground biomass in a portion of the Mexican north border of the intertropical zone.Satellite derived,climatic,and topographic predictor variables were combined with the Mexican National Forest Inventory(NFI)data to accomplish the purpose.Performance of distance metrics applied into the kNN algorithm was evaluated using a cross validation leave-one-out technique.The results indicate that the Most Similar Neighbor(MSN)approach maximizes the correlation between predictor and response variables(r=0.9).Our results are in agreement with those reported in the literature.These findings confirm the predictive potential of the MSN approach for mapping forest variables at pixel level under the policy of Reducing Emission from Deforestation and Forest Degradation(REDD+).展开更多
To improve the accuracy of illumination estimation while maintaining a relative fast execution speed, a novel learning-based color constancy using color edge moments and regularized regression in an anchored neighborh...To improve the accuracy of illumination estimation while maintaining a relative fast execution speed, a novel learning-based color constancy using color edge moments and regularized regression in an anchored neighborhood is proposed. First, scene images are represented by the color edge moments of various orders. Then, an iterative regression with a squared Frobenius norm（F-norm） regularizer is introduced to learn the mapping between the edge moments and illuminants in the neighborhood of the anchored sample.Illumination estimation for the test image finally becomes the nearest anchored point search followed by a matrix multiplication using the associated mapping matrix which can be precalculated and stored. Experiments on two standard image datasets show that the proposed approach significantly outperforms the state-of-the-art algorithms with a performance increase of at least 10. 35% and 7. 44% with regard to median angular error.展开更多
"My Neighbor Rosicky,"one of the representative short stories by Willa Cather,the American local colorist famous for her de scription of frontier life on the Great Plains,conveys Cather's deep understand..."My Neighbor Rosicky,"one of the representative short stories by Willa Cather,the American local colorist famous for her de scription of frontier life on the Great Plains,conveys Cather's deep understanding about life.In this paper,the author attempts to apply Jung's archetypal theory to the analysis of Mr.Rosicky,the hero of the short story and gets the conclusion that Mr.Rosicky is in constant pursuit of"Rebirth"through the medium,"the ground."展开更多
On October 24,the International Symposium to Commemorate the10th Anniversary of China's Principle of Amity,Sincerity,Mutual Benefit and Inclusiveness in Neighborhood Diplomacy was held in Beijing.Co-hosted by the ...On October 24,the International Symposium to Commemorate the10th Anniversary of China's Principle of Amity,Sincerity,Mutual Benefit and Inclusiveness in Neighborhood Diplomacy was held in Beijing.Co-hosted by the Office of the Central Commission for Foreign Affairs and the Ministry of Foreign Affairs,and organized by China Institute of International Studies(CIIS),the Symposium was attended by more than200 representatives including political figures from neighboring countries,heads of international and regional organizations,diplomatic envoys of neighboring countries to China and renowned experts and scholars.展开更多
Since the 18th National Congress of the Communist Party of China,China has proposed and actively acted on the important vision of building a community with a shared future for mankind.In October 2013,President Xi Jinp...Since the 18th National Congress of the Communist Party of China,China has proposed and actively acted on the important vision of building a community with a shared future for mankind.In October 2013,President Xi Jinping put forward that“the building of a community with a shared future should be advanced in China’s neighboring countries”.展开更多
Against the backdrop of the international political and economic configuration featuring that“the East is rising and the West is declining”,relations between China and its neighboring countries enjoy steady developm...Against the backdrop of the international political and economic configuration featuring that“the East is rising and the West is declining”,relations between China and its neighboring countries enjoy steady development in general.However,the return of the Cold War mentality,rampant protectionism and prominent security governance issues have seriously threatened peace and stability in China’s neighboring region.展开更多
文摘From April 8 to 9,2025,the Central Conference on Work Related to Neighboring Countries was held in Beijing.General Secretary of the Communist Party of China(CPC)Central Committee Xi Jinping systematically summarized the achievements and experience of China’s neighborhood work in the new era,scientifically analyzed the situation,clarified the goals,tasks,ideas and measures for neighborhood work in the coming period,and emphasized the need to focus on building a community with a shared future with neighboring countries,striving to break new ground in neighborhood work.Facing the ever-changing international landscape,especially the surrounding environment,China needs to carry out integrated diplomacy,reshape the neighborhood environment,translate the concepts and policies of the CPC neighborhood diplomacy into diplomatic practices and achieve greater results.
文摘The Central Conference on Work Related to Neighboring Countries held on April 8–9,2025,highlighted the importance of China's neighborhood as“a vital foundation for achieving development and prosperity,a key front for safeguarding national security,a priority area in managing overall diplomacy,and a crucial link in promoting the building of a community with a shared future for mankind.”
文摘Neighborhood is an important strategic support for China to take into account both the domestic and international situations and coordinate development and security.It is also a crucial link in building a community with a shared future for mankind.China adheres to fostering an amicable,secure,and prosperous neighborhood and works with neighboring countries to create a better future.By seeking an amicable,secure,and prosperous neighborhood,following the principles of amity,sincerity,mutual benefit,and inclusiveness,and sharing weal and woe with its neighbors,China remains committed to deepening exchanges and cooperation with neighboring countries in various fields.Facing a complex and unstable international situation,China and neighboring countries jointly advocate the Asian values of peace,cooperation,openness,and inclusiveness and are committed to promoting indivisible security,common development,and shared prosperity in Asia.China has cooperated with neighboring countries to build a high-quality Belt and Road Initiative and promote global economic recovery.In the face of a critical phase where regional dynamics and global transformations are deeply intertwined,China has put forward the Asian security model,proposed the vision of com mon,comprehensive,cooperative,and sustainable security in Asia,stuck to seeking common ground while shelving differences,and advocated equal-footed consultation.China is taking the initiative to shape the regional security pattern with a positive attitude to safeguard peace and development in Asia.
文摘Since the 18th National Congress of the Communist Party of China(CPC)in 2012,neighborhood diplomacy has been at the top of China’s diplomatic agenda with growing importance.In October 2013,the CPC Central Committee convened the central conference on work related to neighboring countries,first of its kind since the founding of the People’s Republic of China,stressing“let awareness of a community with a shared future take root in the neighboring countries”.
文摘Peripheral immunity forms the foundation of tumor immunity,while tumor immunity represents a more refined adaptation of peripheral immune responses.The tumor microenvironment(TME),a localized niche surrounding tumor cells,is inherently immunosuppressive(1,2).Effective tumor therapy necessitates the dismantling of this microenvironment,aiming to eradicate tumors from the host system.
文摘Imbalanced multiclass datasets pose challenges for machine learning algorithms.They often contain minority classes that are important for accurate predictions.However,when the data is sparsely distributed and overlaps with data points fromother classes,it introduces noise.As a result,existing resamplingmethods may fail to preserve the original data patterns,further disrupting data quality and reducingmodel performance.This paper introduces Neighbor Displacement-based Enhanced Synthetic Oversampling(NDESO),a hybridmethod that integrates a data displacement strategy with a resampling technique to achieve data balance.It begins by computing the average distance of noisy data points to their neighbors and adjusting their positions toward the center before applying random oversampling.Extensive evaluations compare 14 alternatives on nine classifiers across synthetic and 20 real-world datasetswith varying imbalance ratios.This evaluation was structured into two distinct test groups.First,the effects of k-neighbor variations and distance metrics are evaluated,followed by a comparison of resampled data distributions against alternatives,and finally,determining the most suitable oversampling technique for data balancing.Second,the overall performance of the NDESO algorithm was assessed,focusing on G-mean and statistical significance.The results demonstrate that our method is robust to a wide range of variations in these parameters and the overall performance achieves an average G-mean score of 0.90,which is among the highest.Additionally,it attains the lowest mean rank of 2.88,indicating statistically significant improvements over existing approaches.This advantage underscores its potential for effectively handling data imbalance in practical scenarios.
基金supported by the National Key R&D Program of China(2023YFA1009200)the National Natural Science Foundation of China(12171069)the Fundamental Research Funds for the Central Universities.
文摘This paper studies the emergent dynamics of a flock with nonlinear inherent dynamics under closest neighbors model.We establish sufficient frameworks for convergence to flocking in terms of initial state and system parameters.When the number of closest neighbors is at least half of the population,it is shown that convergence to flocking occurs regardless of the initial state provided that the Lipschitz constant of nonlinear dynamics is smaller than the coupling strength.In contrast,when this number of closest neighbors is less than half of the population,we need to impose some restrictive conditions on the initial state to ensure the emergence of flocking based on the disturbed graphs approach.Our results are applicable to both continuous and discrete time cases.Finally,the validity of our theoretical analysis is tested by numerical simulations.
基金funded by FCT/MECI through national funds and,when applicable,co-funded EU funds under UID/50008:Instituto de Telecomunicacoes.
文摘This research explores the use of Fuzzy K-Nearest Neighbor(F-KNN)and Artificial Neural Networks(ANN)for predicting heart stroke incidents,focusing on the impact of feature selection methods,specifically Chi-Square and Best First Search(BFS).The study demonstrates that BFS significantly enhances the performance of both classifiers.With BFS preprocessing,the ANN model achieved an impressive accuracy of 97.5%,precision and recall of 97.5%,and an Receiver Operating Characteristics(ROC)area of 97.9%,outperforming the Chi-Square-based ANN,which recorded an accuracy of 91.4%.Similarly,the F-KNN model with BFS achieved an accuracy of 96.3%,precision and recall of 96.3%,and a Receiver Operating Characteristics(ROC)area of 96.2%,surpassing the performance of the Chi-Square F-KNN model,which showed an accuracy of 95%.These results highlight that BFS improves the ability to select the most relevant features,contributing to more reliable and accurate stroke predictions.The findings underscore the importance of using advanced feature selection methods like BFS to enhance the performance of machine learning models in healthcare applications,leading to better stroke risk management and improved patient outcomes.
文摘The electrochemical reduction of nitrate(NO_(3)−)to ammonia(NH_(3))(NO3RR)represents an environmentally sustainable strategy for NH_(3)production while concurrently addressing water pollution challenges.Nevertheless,the intrinsic complexity of this multi-step reaction severely constrains both the selectivity and efficiency of NO3RR.Copper-based electrocatalysts have been extensively investigated for NO_(3)RR but often suffer from nitrite(NO_(2)^(−))accumulation,which stems from insufficient NO_(3)^(−)adsorption strength.This limitation often leads to rapid catalyst deactivation,hindered hydrogenation pathways,and reduced overall efficiency.Herein,we report a one-step green chemical reduction method to synthesize PtCuSnCo quarternary alloy nanoparticles with homogeneously distributed elements.Under practical NO3−concentrations,the optimized catalyst exhibited an impressive Faradaic efficiency approaching 100%and an outstanding selectivity of 95.6±2.9%.Mechanistic insights uncovered that SnCo sites robustly facilitated NO_(3)^(−)adsorption,complemented by the proficiency of PtCu sites in NO3−reduction.The synergistic spatial neighborhood effect between SnCo and PtCu sites efficiently stabilizes NO_(3)^(−)deoxygenation and suppresses NO_(2)^(−)accumulation.This tandem architecture achieves a finely tuned balance between adsorption strength and deoxygenation kinetics,enabling highly selective and efficient NO3RR.Our findings emphasize the indispensable role of engineered multi-metallic catalysts in overcoming persistent challenges of NO3RR,paving the way for advanced NH3 synthesis and environmental remediation.
文摘As an important part of China's neighborhood,Southeast Asia has always been a high priority in China's neighborhood diplomacy,playing a benchmark and example-setting role in China's drive to build a community with a shared future with neighboring countries.Shortly after the 2025 Central Conference on Work Related to Neighboring Countries,Chinese President Xi Jinping paid state visits to Vietnam,Malaysia,and Cambodia.
基金The National Key Research and Development Program of China under contract No.2017YFC0602202.
文摘The distribution of igneous rocks is closely related to hydrocarbon resources.This study utilized high-precision gravity,magnetic,and rock physical property data,employing gravity-magnetic field fusion technology and Euler deconvolution technology.The objective was to identify the distribution of igneous rocks in the China Seas and neighboring regions and investigate their relationships with petroliferous basins.Our results reveal that igneous rocks are widely scattered throughout the China Seas and neighboring regions,with the highest concentration in the northwest(NW)and the second highest concentration in the east-northeast(ENE).The largest-scale igneous rocks are those with a north-south(N-S)orientation,followed by those with northeast(NE),NW,and ENE orientations.The depths of igneous rocks within petroliferous basins typically range from 3 km to 9 km and are associated with hydrocarbon resource distributions characterized by deep oil and shallow gas.The proportions of igneous rocks in different types of basins exhibit varying correlations with the total hydrocarbon resources.In particular,the proportion of igneous rocks in rift-type basins in the China Seas exhibits a strong linear correlation with the total hydrocarbon resources.These research findings provide valuable guidance for studying the relationship between igneous rock distribution and petroliferous basins,offering insights that can inform future hydrocarbon exploration endeavors.
文摘As climate change negotiations progress,monitoring biomass and carbon stocks is becoming an important part of the current forest research.Therefore,national governments are interested in developing forest-monitoring strategies using geospatial technology.Among statistical methods for mapping biomass,there is a nonparametric approach called k-nearest neighbor(kNN).We compared four variations of distance metrics of the kNN for the spatially-explicit estimation of aboveground biomass in a portion of the Mexican north border of the intertropical zone.Satellite derived,climatic,and topographic predictor variables were combined with the Mexican National Forest Inventory(NFI)data to accomplish the purpose.Performance of distance metrics applied into the kNN algorithm was evaluated using a cross validation leave-one-out technique.The results indicate that the Most Similar Neighbor(MSN)approach maximizes the correlation between predictor and response variables(r=0.9).Our results are in agreement with those reported in the literature.These findings confirm the predictive potential of the MSN approach for mapping forest variables at pixel level under the policy of Reducing Emission from Deforestation and Forest Degradation(REDD+).
基金The National Natural Science Foundation of China(No.61503303,51409215)the Fundamental Research Funds for the Central Universities(No.G2015KY0102)
文摘To improve the accuracy of illumination estimation while maintaining a relative fast execution speed, a novel learning-based color constancy using color edge moments and regularized regression in an anchored neighborhood is proposed. First, scene images are represented by the color edge moments of various orders. Then, an iterative regression with a squared Frobenius norm（F-norm） regularizer is introduced to learn the mapping between the edge moments and illuminants in the neighborhood of the anchored sample.Illumination estimation for the test image finally becomes the nearest anchored point search followed by a matrix multiplication using the associated mapping matrix which can be precalculated and stored. Experiments on two standard image datasets show that the proposed approach significantly outperforms the state-of-the-art algorithms with a performance increase of at least 10. 35% and 7. 44% with regard to median angular error.
文摘"My Neighbor Rosicky,"one of the representative short stories by Willa Cather,the American local colorist famous for her de scription of frontier life on the Great Plains,conveys Cather's deep understanding about life.In this paper,the author attempts to apply Jung's archetypal theory to the analysis of Mr.Rosicky,the hero of the short story and gets the conclusion that Mr.Rosicky is in constant pursuit of"Rebirth"through the medium,"the ground."
文摘On October 24,the International Symposium to Commemorate the10th Anniversary of China's Principle of Amity,Sincerity,Mutual Benefit and Inclusiveness in Neighborhood Diplomacy was held in Beijing.Co-hosted by the Office of the Central Commission for Foreign Affairs and the Ministry of Foreign Affairs,and organized by China Institute of International Studies(CIIS),the Symposium was attended by more than200 representatives including political figures from neighboring countries,heads of international and regional organizations,diplomatic envoys of neighboring countries to China and renowned experts and scholars.
文摘Since the 18th National Congress of the Communist Party of China,China has proposed and actively acted on the important vision of building a community with a shared future for mankind.In October 2013,President Xi Jinping put forward that“the building of a community with a shared future should be advanced in China’s neighboring countries”.
文摘Against the backdrop of the international political and economic configuration featuring that“the East is rising and the West is declining”,relations between China and its neighboring countries enjoy steady development in general.However,the return of the Cold War mentality,rampant protectionism and prominent security governance issues have seriously threatened peace and stability in China’s neighboring region.
