The Synopsis of the Theory of Pansystems Multinomial Forecasting

The theory of Pansystems Multionomial forecasting (TPMF) is a theory which researches this kind of multinomial forecasting problem:Suppose S(t) is an undnown multinomial, S(j) is the value vector of S(t) at t=t_j. If we get a set of data(S_0, S_1,…, S_n), S_j is an approximate vector of the vector S(j), then how to forecast the vector S(n+1) and what is the maximum of the distance between the forecasting vector and the vector S(n+1) under the condition that S(t) unchanges during the discussion procedure and the range of error is knowm.The purpose of the paper is to give a brief introduction of TPMF.     

多项式判别系统的推广和应用

对于两个多项式ｆ（ｘ）,ｇ（ｘ）定义了推广的多项式判别序列Ｄ（ｆ,ｇ）并给出两多项式的根的相对分布的显式判定。     

Discovering the cellular-localized functional modules and modular interactions in response to liver cancer

In this paper, we firstly identify the functional modules enriched with differentially expressed genes （DEGs） and characterized by biological processes in specific cellular locations, based on gene ontology （GO） and microarray data. Then, we further define and filter disease relevant signature modules according to the ranking of the disease discriminating abilities of the pre-selected functional modules. At last, we analyze the potential way by which they cooperate towards human disease. Application of the proposed method to the analysis of a liver cancer dataset shows that, using the same false discovery rate （ FDR ） threshold, we can find more biologically meaningful and detailed processes by using the cellular localization information. Some biological evidences support the relevancy of our biological modules to the disease mechanism.     

Discovery of the first Asian plethodontid salamander

Nearly 70% of the 535 species of salamanders in the world are members of a single family, the Plethodontidae, or lungless salamanders. The centre of diversity for this clade is North and Middle America, where the vast majority (99%) of species are found. We report the discovery of the first Asian plethodontid salamander, from montane woodlands in southwestern Korea. The new species superficially resembles members of North American genera, in particular the morphologically conservative genus Plethodon. However, phylogenetic analysis of the nuclear encoded gene Rag-1 shows the new taxon to be widely divergent from Plethodon. The new salamander differs osteologically from putative relatives, especially with respect to the tongue (attached protrusible) and the derived tarsus. We place the species in a new genus on the basis of the morphological and molecular data. The distribution of the new salamander adds to the enigma of Old World plethodontids, which are otherwise restricted to the western Mediterranean region, suggesting a more extensive past distribution of the family.     

An improved implementable process for the synthesis of zeolite 4A from bauxite tailings and its Cr<Superscript>3+</Superscript> removal capacity

A simple and practical method for the synthesis of zeolite 4A from bauxite tailings is presented in this paper. Systematic investigations were carried out regarding the capacity of zeolite 4A to remove Cr(Ⅲ) from aqueous solutions with relatively low initial concentrations of Cr(Ⅲ) (5–100 mg·L-1). It is found that the new method is extremely cost-effective and can significantly contribute in decreasing environmental pollution caused by the dumping of bauxite tailings. The Cr(Ⅲ) removal capacity highly depends on the initial pH value and concentration of Cr(Ⅲ) in the solution. The maximum removal capacity of Cr(Ⅲ) was evaluated to be 85.1 mg·g-1 for zeolite 4A, measured at an initial pH value of 4 and an initial Cr(Ⅲ) concentration of 5 mg·L-1. This approach enables a higher removal capacity at lower concentrations of Cr(Ⅲ), which is a clear advantage over the chemical precipitation method. The removal mechanism of Cr(Ⅲ) by zeolite 4A was examined. The results suggest that both ion exchange and the surface adsorption-crystallization reaction are critical steps. These two steps collectively resulted in the high removal capacity of zeolite 4A to remove Cr(Ⅲ).     

Dehydrogenation and reaction pathway of Perovskite-Type NH4Ca(BH4)3

Perovskite-type borohydride, NH_4Ca(BH_4)_3, is considered as a promising hydrogen storage material due to its high gravimetric hydrogen capacity(15.7 wt%). In this work, the dehydrogenation performance and reaction pathway of NH_4Ca(BH_4)_3 have been systematically investigated. It is found that the initial decomposition temperature is only 65 °C, suggesting a low thermodynamic stability of NH4Ca(BH4)3. The desorption kinetics conducted by differential scanning calorimetry(DSC) indicates that the activation energy of decomposition is about 226.1 k J/mol. The dehydrogenation pathway of NH_4Ca(BH_4)_3 characterized by fourier-transform infrared spectroscopy(FTIR) and solid-state nuclear magnetic resonance(NMR) shows a stepwise decomposition process,in which the initial dehydrogenation is due to destabilization of H~+ in NH4 and H-in BH4 followed by the subsequent dehydrogenation steps arising from the decomposition of homologous NH_3BH_3 and the final decomposition of Ca(BH_4)_2 at a high temperature, respectively.     

Initial residual stress experiment and simulation of thin-walled parts for layer removal method

Thin-walled parts have low stiffness characteristic. Initial residual stress of thin-walled blanks is an important influence factor on machining stability. The present work is to verify the feasibility of an initial residual stress measurement of layer removal method. According to initial residual stress experiment for casting ZL205 A aluminum alloy tapered thin-walled blank by a common method,namely hole-drilling method,three finite element models with initial residual stress are established to simulate the layer removal method in ABAQUS and ANSYS software. By analyzing the results of simulation and experiments,the cutting residual stress inlayer removal process has a significant effect on measurement results. Reducing cutting residual stress is helpful to improve accuracy of layer removal method.     

利用自动解离分析方法研究硫化铜尾矿的矿物学特征:谦比希铜矿尾矿的实例研究

As ore grades constantly decline, more copper tailings, which still contain a considerable amount of unrecovered copper, are expected to be produced as a byproduct of froth flotation. This research reveals the occurrence mechanism of copper minerals in typical copper sulfide tailings using quantitative mineral liberation analysis (MLA) integrated with scanning electron microscopy–energy dispersive spectroscopy (SEM–EDS). A comprehensive mineralogical characterization was carried out, and the results showed that almost all copper minerals were highly disseminated within coarse gangue particles, except for 9.2wt% chalcopyrite that occurred in the 160–180 μm size fraction. The predominant copper-bearing mineral was chalcopyrite, which was closely intergrown with orthoclase and muscovite rather than quartz. The flotation tailings sample still contained 3.28wt% liberated chalcopyrite and 3.13wt% liberated bornite because of their extremely fine granularity. The SEM–EDS analysis further demonstrated that copper minerals mainly occurred as fine dispersed and fully enclosed structures in gangue minerals. The information obtained from this research could offer useful references for recovering residual copper from flotation tailings.     

Collaborative multi-agent reinforcement learning based on experience propagation

For multi-agent reinforcement learning in Markov games, knowledge extraction and sharing are key research problems. State list extracting means to calculate the optimal shared state path from state trajectories with cycles. A state list extracting algorithm checks cyclic state lists of a current state in the state trajectory, condensing the optimal action set of the current state. By reinforcing the optimal action selected, the action policy of cyclic states is optimized gradually. The state list extracting is repeatedly learned and used as the experience knowledge which is shared by teams. Agents speed up the rate of convergence by experience sharing. Competition games of preys and predators are used for the experiments. The results of experiments prove that the proposed algorithms overcome the lack of experience in the initial stage, speed up learning and improve the performance.