China has adopted a long-term campaign against poverty. In recent decades, there is an increasing understanding that ecological poverty alleviation can meet the dual goals of environmental protection and rural poverty...China has adopted a long-term campaign against poverty. In recent decades, there is an increasing understanding that ecological poverty alleviation can meet the dual goals of environmental protection and rural poverty reduction. China is pivoting towards forestry-based poverty reduction in the severely poverty-stricken areas. However, several key factors remain elusive, including the extent to which the poor people benefit from forestry programs, whether they are satisfied with the policies and whether the policies are effective for poverty alleviation. Based on data collected through a questionnaire survey of 79 households in the prefectures of Nujiang and Aba, southwestern China, the analytic hierarchy process(AHP) approach was used to examine the effectiveness of the forestry-based poverty alleviation policy. The results showed that four poverty alleviation pathways, including industry, employment, micro-finance and pairing assistance in villages, had obviously increased the incomes of the filing poor households and solved the problem of "Two Worries-free and Three Guarantees". The poor were satisfied with the forestry-based ecological poverty alleviation policies and these policies had good effects in fighting against poverty. However, there are still some shortcomings, such as a lack of active participation, imperfect targeted identification, lack of funds and limited sources of funds during the policy implementation. Our results highlight the importance of the forestry industry and the public welfare position in the alleviation of poverty in the poverty-stricken areas. Synergies between ecological protection and poverty reduction are possible through sound forestry-based policies. This article recommends five policies to simultaneously realize the potential of poverty alleviation and environment protection through forestry development.展开更多
Graph neural networks have been shown to be very effective in utilizing pairwise relationships across samples.Recently,there have been several successful proposals to generalize graph neural networks to hypergraph neu...Graph neural networks have been shown to be very effective in utilizing pairwise relationships across samples.Recently,there have been several successful proposals to generalize graph neural networks to hypergraph neural networks to exploit more com-plex relationships.In particular,the hypergraph collaborative networks yield superior results compared to other hypergraph neural net-works for various semi-supervised learning tasks.The collaborative network can provide high quality vertex embeddings and hyperedge embeddings together by formulating them as a joint optimization problem and by using their consistency in reconstructing the given hy-pergraph.In this paper,we aim to establish the algorithmic stability of the core layer of the collaborative network and provide generaliz--ation guarantees.The analysis sheds light on the design of hypergraph filters in collaborative networks,for instance,how the data and hypergraph filters should be scaled to achieve uniform stability of the learning process.Some experimental results on real-world datasets are presented to illustrate the theory.展开更多
The central limit theorem guarantees the distribution of the measurand is Gaussian when the number of repeated measurement is infinity, but in many practical cases, the number of measurement times is limited to a give...The central limit theorem guarantees the distribution of the measurand is Gaussian when the number of repeated measurement is infinity, but in many practical cases, the number of measurement times is limited to a given number. To overcome this contradiction, this paper firstly carries out the maximum likelihood estimation for parameter q in qGaussian density model developed under the maximum Tsallis entropy principle. Then the q-Gaussian probability density function is used in the particle filter to estimate and measure the nonlinear system. The estimated parameter q is related to the ratio between the measurement variance and the given variance, which indicates that the measurement accuracy cannot be improved if we only increase the repeated measurement times. Via using the proposed q-Gaussian density model,the measurement error（the average mean square error）of the estimation results can be reduced to a considerable level where the number of repeated measurement is limited. The experimental example is given to verify the proposed model and the measurement results prove the correctness and effectiveness of it.展开更多
Recently, theoretical and experimental nano-sized fundamental devices for optical circuits have been proposed at the single-photon level. The assembly of a realistic optical circuit is now a reality. In this work, we ...Recently, theoretical and experimental nano-sized fundamental devices for optical circuits have been proposed at the single-photon level. The assembly of a realistic optical circuit is now a reality. In this work, we introduce a single-photon interconnector composed of two individual nanowires and an optical N-type four-level emitter that can turn the optical connection on and off optically. Because of dipole-induced transmission at the single-photon level, a single photon can travel between the two nanowires reciprocally, which guarantees its application as an all-optical interconnector.展开更多
Background: The 11th Annual Conference of Asia-Pacific Risk and Insurance Association was held on July 22-25, 2007 in Taipei, Taiwan. The first author participated in this annual conference where he met the second aut...Background: The 11th Annual Conference of Asia-Pacific Risk and Insurance Association was held on July 22-25, 2007 in Taipei, Taiwan. The first author participated in this annual conference where he met the second author who was invited to deliver two plenary speeches on Corporate Governance and Financial Institution Regulation [1] and Alternative Investments for Financial Institutions [2]. The first author was then working as consultant with i-flex solutions, a subsidiary of Oracle and the second author was Vice President of Strategic Business Initiatives Units at ING Life Insurance in its Taiwan operation. The two authors decided to start collaborating on a research paper titled “Modeling Policyholder Behavior through Insurance Resonant Marts for Pricing Options and Guarantees.” The first version of the paper was submitted for research purposes to ING Insurance Risk Management Global Conference 2007 [3] which was held in Beijing, China. Although it was neither presented nor published, the working draft was constantly updated and revised. In 2015, after eight years of continuous research collaboration, the two authors decided to submit the final version of the paper to the 5th World Congress on Engineering and Technology for scholarly presentation. Aim: The competition in the insurance industry is extremely fierce. Insurance companies are under tremendous pressure to retain and increase their customer base, to offer services at attractive rates and provide returns competitive with mutual funds, equities and banks, to achieve profitability across various lines of insurance, to comply with statutory norms etc. Despite having the best of breeds, such as accountants, actuaries [4], lawyers, underwriters, IT experts, consultants, etc., many insurance companies face severe problems to cope with and survive under such pressures. Insurance companies are now striving towards creating innovative products that can match the expectation of the customers with respect to investment returns and risk coverage at competitive展开更多
Probabilistic method requires a lot of sample information to describe the probability distributions of uncertain variables and has difficulty in dealing with the optimization problem with uncertain parameters which co...Probabilistic method requires a lot of sample information to describe the probability distributions of uncertain variables and has difficulty in dealing with the optimization problem with uncertain parameters which contains unsufficient information.To solve this problem,a robust optimization operation method based on information gap decision theory(IGDT) is presented considering the non-probabilistic uncertainties of parameters.By the proposed method the maximum resistance to the disturbance of uncertain parameters is achieved and the optimization strategies with uncertain parameters are presented.Finally,numerical simulation is performed on the modified IEEE-14 bus system.Numerical results show the effectiveness of the proposed approach.展开更多
基金The Economic Development Research Center of National Forestry and Grassland Administration Research Project (JYC2018-101)。
文摘China has adopted a long-term campaign against poverty. In recent decades, there is an increasing understanding that ecological poverty alleviation can meet the dual goals of environmental protection and rural poverty reduction. China is pivoting towards forestry-based poverty reduction in the severely poverty-stricken areas. However, several key factors remain elusive, including the extent to which the poor people benefit from forestry programs, whether they are satisfied with the policies and whether the policies are effective for poverty alleviation. Based on data collected through a questionnaire survey of 79 households in the prefectures of Nujiang and Aba, southwestern China, the analytic hierarchy process(AHP) approach was used to examine the effectiveness of the forestry-based poverty alleviation policy. The results showed that four poverty alleviation pathways, including industry, employment, micro-finance and pairing assistance in villages, had obviously increased the incomes of the filing poor households and solved the problem of "Two Worries-free and Three Guarantees". The poor were satisfied with the forestry-based ecological poverty alleviation policies and these policies had good effects in fighting against poverty. However, there are still some shortcomings, such as a lack of active participation, imperfect targeted identification, lack of funds and limited sources of funds during the policy implementation. Our results highlight the importance of the forestry industry and the public welfare position in the alleviation of poverty in the poverty-stricken areas. Synergies between ecological protection and poverty reduction are possible through sound forestry-based policies. This article recommends five policies to simultaneously realize the potential of poverty alleviation and environment protection through forestry development.
基金Ng was supported in part by Hong Kong Research Grant Council General Research Fund(GRF),China(Nos.12300218,12300519,117201020,17300021,CRF C1013-21GF,C7004-21GF and Joint NSFC-RGC NHKU76921)Wu is supported by National Natural Science Foundation of China(No.62206111)+3 种基金Young Talent Support Project of Guangzhou Association for Science and Technology,China(No.QT-2023-017)Guangzhou Basic and Applied Basic Research Foundation,China(No.2023A04J1058)Fundamental Research Funds for the Central Universities,China(No.21622326)China Postdoctoral Science Foundation(No.2022M721343).
文摘Graph neural networks have been shown to be very effective in utilizing pairwise relationships across samples.Recently,there have been several successful proposals to generalize graph neural networks to hypergraph neural networks to exploit more com-plex relationships.In particular,the hypergraph collaborative networks yield superior results compared to other hypergraph neural net-works for various semi-supervised learning tasks.The collaborative network can provide high quality vertex embeddings and hyperedge embeddings together by formulating them as a joint optimization problem and by using their consistency in reconstructing the given hy-pergraph.In this paper,we aim to establish the algorithmic stability of the core layer of the collaborative network and provide generaliz--ation guarantees.The analysis sheds light on the design of hypergraph filters in collaborative networks,for instance,how the data and hypergraph filters should be scaled to achieve uniform stability of the learning process.Some experimental results on real-world datasets are presented to illustrate the theory.
基金supported by the National Natural Science Foundation of China under Grant No.60871056 and No.61371049the specialized Research Fund for the Doctoral Program of High Education of China under Grant No.20120185110013+2 种基金the Fundamental Research Funds for the Central Universities under Grant No.267ZYGX2015KYQD021Sichuan Province Applied Basis Research Project under Grant No.2013JY0058the Key Lab Fund Project of Key Laboratory of Fluid and Power Machinery of Ministry of Education under Grant No.SZJJ2012-042
文摘The central limit theorem guarantees the distribution of the measurand is Gaussian when the number of repeated measurement is infinity, but in many practical cases, the number of measurement times is limited to a given number. To overcome this contradiction, this paper firstly carries out the maximum likelihood estimation for parameter q in qGaussian density model developed under the maximum Tsallis entropy principle. Then the q-Gaussian probability density function is used in the particle filter to estimate and measure the nonlinear system. The estimated parameter q is related to the ratio between the measurement variance and the given variance, which indicates that the measurement accuracy cannot be improved if we only increase the repeated measurement times. Via using the proposed q-Gaussian density model,the measurement error（the average mean square error）of the estimation results can be reduced to a considerable level where the number of repeated measurement is limited. The experimental example is given to verify the proposed model and the measurement results prove the correctness and effectiveness of it.
基金Project supported by the National Natural Science Foundation of China(Grant Nos.11274242,11474221,and 11574229)the Joint Fund of the National Natural Science Foundation of China+2 种基金the China Academy of Engineering Physics(Grant No.U1330203)the National Key Basic Research Special Foundation of China(Grant Nos.2011CB922203 and 2013CB632701)the Doctor Startup Fund of the Natural Science of Jinggangshan University,China(Grant No.JZB16003)
文摘Recently, theoretical and experimental nano-sized fundamental devices for optical circuits have been proposed at the single-photon level. The assembly of a realistic optical circuit is now a reality. In this work, we introduce a single-photon interconnector composed of two individual nanowires and an optical N-type four-level emitter that can turn the optical connection on and off optically. Because of dipole-induced transmission at the single-photon level, a single photon can travel between the two nanowires reciprocally, which guarantees its application as an all-optical interconnector.
文摘Background: The 11th Annual Conference of Asia-Pacific Risk and Insurance Association was held on July 22-25, 2007 in Taipei, Taiwan. The first author participated in this annual conference where he met the second author who was invited to deliver two plenary speeches on Corporate Governance and Financial Institution Regulation [1] and Alternative Investments for Financial Institutions [2]. The first author was then working as consultant with i-flex solutions, a subsidiary of Oracle and the second author was Vice President of Strategic Business Initiatives Units at ING Life Insurance in its Taiwan operation. The two authors decided to start collaborating on a research paper titled “Modeling Policyholder Behavior through Insurance Resonant Marts for Pricing Options and Guarantees.” The first version of the paper was submitted for research purposes to ING Insurance Risk Management Global Conference 2007 [3] which was held in Beijing, China. Although it was neither presented nor published, the working draft was constantly updated and revised. In 2015, after eight years of continuous research collaboration, the two authors decided to submit the final version of the paper to the 5th World Congress on Engineering and Technology for scholarly presentation. Aim: The competition in the insurance industry is extremely fierce. Insurance companies are under tremendous pressure to retain and increase their customer base, to offer services at attractive rates and provide returns competitive with mutual funds, equities and banks, to achieve profitability across various lines of insurance, to comply with statutory norms etc. Despite having the best of breeds, such as accountants, actuaries [4], lawyers, underwriters, IT experts, consultants, etc., many insurance companies face severe problems to cope with and survive under such pressures. Insurance companies are now striving towards creating innovative products that can match the expectation of the customers with respect to investment returns and risk coverage at competitive
基金National Natural Science Foundation of China(No.61533010)Science and Technology Commission of Shanghai Municipality,China(No.14ZR1415300)
文摘Probabilistic method requires a lot of sample information to describe the probability distributions of uncertain variables and has difficulty in dealing with the optimization problem with uncertain parameters which contains unsufficient information.To solve this problem,a robust optimization operation method based on information gap decision theory(IGDT) is presented considering the non-probabilistic uncertainties of parameters.By the proposed method the maximum resistance to the disturbance of uncertain parameters is achieved and the optimization strategies with uncertain parameters are presented.Finally,numerical simulation is performed on the modified IEEE-14 bus system.Numerical results show the effectiveness of the proposed approach.
