Societal response to challenges of global change and human sustainable development

It is now widely accepted that carbon emission from human activities is an important driving force in global warming, and global change has a deep impact on sustainable development of human society. To meet the challenges of global change, the international community has reached a consensus that developed countries take strict actions in emission reduction, whereas developing countries take spontaneous efforts in reducing emissions under the guiding principle of common but differentiated responsibilities, with an agreed goal to restrict global surface temperature increase due to human activities to within 2℃ of pre-industrial levels. However, there is no clear pathway to reach this goal. A number of related questions must be addressed on principles to be followed, research emphasis and policy measures. Here we argue that response policies to address global change issues must be based on balanced development at regional and international levels, and on advancements in science and technology. This requires consideration of harmony not only between humans and nature but also within human societies, to properly deal with the relationship between global change and sustainable development. We must make equal efforts toward carbon emission reduction and carbon sequestration, and toward mitigation and adaptation. There should be more research support to reduce uncertainties in our understanding of global change. Addressing the challenges of global change creates great opportunities for the development of human society. This will facilitate transformation of energy use structure, improve and restore ecological functioning of the earth environment, transform production modes and ways of living in human society, and promote harmonic and balanced development at regional and international levels.     

融合标签嵌入和知识感知的多标签文本分类方法

多标签文本分类是自然语言处理领域的重要任务之一.文本的标签语义信息与文本的文档内容有紧密的联系，而传统的多标签文本分类方法存在忽略标签的语义信息以及标签的语义信息不足等问题.针对以上问题，提出一种融合标签嵌入和知识感知的多标签文本分类方法 LEKA (Label Embedding and Knowledge-Aware).该方法依赖于文档文本以及相应的多个标签，通过标签嵌入来获取与标签相关的注意力.考虑标签的语义信息，建立标签与文档内容的联系，将标签应用到文本分类中.另外，为了增强标签的语义信息，通过知识图谱嵌入引入外部感知知识，对标签文本进行语义扩展.在AAPD和RCV1-V2公开数据集上与其他分类模型进行了对比，实验结果表明，与LCFA (Label Combination and Fusion of Attentions)模型相比，LEKA的F1分别提高了3.5%和2.1%.     

The Fitzpatrick-Neville-Type Algorithm for Multivariate Vector-Valued Osculatory Rational Interpolation

In this paper,the authors first apply the Fitzpatrick algorithm to multivariate vectorvalued osculatory rational interpolation.Then based on the Fitzpatrick algorithm and the properties of an Hermite interpolation basis,the authors present a Fitzpatrick-Neville-type algorithm for multivariate vector-valued osculatory rational interpolation.It may be used to compute the values of multivariate vector-valued osculatory rational interpolants at some points directly without computing the interpolation function explicitly.     

Si@CNT纳米结构与MOF衍生多孔碳的链状化合物作为锂离子电池负极材料的研究

Silicon anodes are considered to have great prospects for use in batteries; however, many of their defects still need to be improved. The preparation of hybrid materials based on porous carbon is one of the effective ways to alleviate the adverse impact resulting from the volume change and the inferior electronic conductivity of a silicon electrode. Herein, a chain-like carbon cluster structure is prepared, in which MOF-derived porous carbon acts as a shell structure to integrally encapsulate Si nanoparticles, and CNTs play a role in connecting carbon shells. Based on the exclusive structure, the carbon shell can accommodate the volume expansion more effectively, and CNTs can improve the overall stability and conductivity. The resulting composite reveals excellent rate capacity and enhanced cycling stability; in particular, a capacity of 732 mA·h·g?1 at 2 A·g?1 is achieved with a reservation rate of 72.3% after cycling 100 times at 1 A·g?1.     

Cyclic oxidation behavior of b-NiAlDy alloys containing varying aluminum content at 1200 1C

b-NiAlDy cast alloys containing varying aluminum content were prepared by arcmelting. The microstructures and cyclic oxidation behavior of the alloys at 1200 1C were investigated. Grain refinement was achieved by increasing aluminum content in the alloy, which is beneficial to selective oxidation. The Ni–55Al–0.1Dy alloy showed excellent cyclic oxidation resistance due to the formation of a continuous, dense and slow-growing oxide scale. In contrast to this, severe internal oxidation as well as large void formation at the scale/alloy interface occurred in the Ni–45Al–0.1Dy alloy. The aluminum content dependence of the reactive element effects in b- NiAlDy was established that Dy doping strengthened the scale/alloy interface by pegging mechanism in high-aluminum alloys but accelerated internal oxidation in low-aluminum alloys during high-temperature exposure.     

Strong convergence rate of a kind of Pickandstype estimator

ＳｔｒｏｎｇｃｏｎｖｅｒｇｅｎｃｅｒａｔｅｏｆａｋｉｎｄｏｆＰｉｃｋａｎｄｓｔｙｐｅｅｓｔｉｍａｔｏｒ￥ＰｅｎｇＺｕｏｘｉａｎｇ（ＤｅｐａｒｔｍｅｎｔｏｆＭａｔｈｅｍａｔｉｃｓ，ＳｏｕｔｈｗｅｓｔＣｈｉｎａＮｏｒｍａｌＵｎｉｖｅｒｓｉｔｙ，Ｃｈｏｎｇ...     

Effects of the hierarchical pyrolysis polyaniline on reversible hydrogen storage of LiBH4

In this work,LiBH_4–20 wt%PP composite was prepared by ball-milling with as-synthesized hierarchical pyrolysis polyaniline(PP)and LiBH_4,and the hydrogen sorption performance as well as catalytic mechanism of the composite was studied.It is found that the onset desorption temperature of the composite decreases to 75°C,almost 235°C lower than that of the milled LiBH_4.Moreover,the composite could release 4.1 wt%H_2and rehydrogenate a total of 4.4 wt%H_2when the temperature raiseds up to 400°C,showing an outstanding reversibility,which even 3.9 wt%H_2can be kept after five cycles.Through scanning electron microscopy(SEM)observation and X-ray diffraction(XRD)analysis,we found that the PP surface forms some nanoholes after hydrogenation-dehydrogenation cycles,which leads to the confinement of some LiBH_4in the PP nanoporous structure,therefore,the hydrogen sorption kinetics and reversibility are significantly enhanced.In addition,we also found the oxygenic groups of the PP can react with LiBH_4forming LiBO_2and Li_3BO_3,where the containing Li–B–O bonds loaded in the porous structure of the PP catalyze the hydrogenation reaction of LiBH_4.     

Silicone oil-based solar-thermal fluids dispersed with PDMS-modified Fe3O4@graphene hybrid nanoparticles

One of the most challenging problems that limit the practical application of carbon-based photothermal nanofluids is their poor dispersion stability and tendency to form aggregation. Herein, by using Fe_3O_4@graphene hybrid nanoparticles as a model system, we proposed a new method to prepare stably dispersed silicone oilbased solar-thermal nanofluids that can operate at high temperatures than water-based fluids. The introduction of Fe_3O_4 nanoparticles between graphene nanosheets not only physically increases the inter-plane distance of the graphene nanosheet but also provides numerous anchoring points for surface modification. Phosphate-terminated polydimethylsiloxane chains, which have high compatibility with the silicone oil base fluids and hightemperature stability, were synthesized and utilized to modify the Fe_3 O_4 nanoparticle surfaces. The attached chains create steric hindrance and effectively screen the strong inter-plane van der Waals attraction between graphene sheets. Dispersion stability of the nanofluids with different concentrations of surface-modified hybrid nanoparticles and heated under different temperatures was investigated. We have demonstrated that such fluids could maintain stable dispersion under a heating temperature up to 150 °C depending on the concentration of the hybrid nanoparticles. The resultant nanofluids maintained stable dispersion after repeated heating and were employed for consistent direct solar-thermal energy harvesting at 100 °C.     

Backstepping sliding mode control with self recurrent wavelet neural network observer for a novel coaxial twelve-rotor UAV

The robust attitude control for a novel coaxial twelve-rotor UAV which has much greater payload capacity,higher drive capability and damage tolerance than a quad-rotor UAV is studied. Firstly,a dynamical and kinematical model for the coaxial twelve-rotor UAV is designed. Considering model uncertainties and external disturbances,a robust backstepping sliding mode control( BSMC) with self recurrent wavelet neural network( SRWNN) method is proposed as the attitude controller for the coaxial twelve-rotor. A combinative algorithm of backstepping control and sliding mode control has simplified design procedures with much stronger robustness benefiting from advantages of both controllers. SRWNN as the uncertainty observer is able to estimate the lumped uncertainties effectively.Then the uniformly ultimate stability of the twelve-rotor system is proved by Lyapunov stability theorem. Finally,the validity of the proposed robust control method adopted in the twelve-rotor UAV under model uncertainties and external disturbances are demonstrated via numerical simulations and twelve-rotor prototype experiments.