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Table of Content

      
    20 November 2020
    Volume 55 Issue 11
    Comparative study on genetic structure of three color variants of the sea cucumber (Apostichopus japonicus) based on mitochondrial and ribosomal genes
    Zhan-sheng GUO,Zhen WANG,Xu-guang HOU,Hai-tao ZHANG
    JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE). 2020, 55(11):  1-7.  doi:10.6040/j.issn.1671-9352.0.2020.231
    Abstract ( 100 )   HTML ( 15 )   PDF (869KB) ( 332 )   Save
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    The sea cucumber Apostichopus japonicus is an important marine aquatic species in China. Selecting good breeding is a major issue for sea cucumber aquaculture, and body color is chosen as an important consideration. In order to explore the genetic structure and phylogenetic relationship of sea cucumber populations with different body color characteristics, 16S rRNA, COⅠ and 18S rRNA-ITS-28S rRNA sequences were amplified and sequenced. The results showed that the lengths of 16S rRNA, COⅠ and 18S rRNA-ITS-28S rRNA sequences were 812-830 bp, 877-915 bp and 1 536-1 572 bp, respectively. In the green, white and purple morphs of the sea cucumber, 4/5/5, 5/3/4, and 4/4/3 haplotypes were detected in 16S rRNA, COⅠ and 18S rRNA-ITS-28S rRNA sequences, respectively. The number of polymorphic loci in the COⅠ sequences was the highest, and that of 16S rRNA sequences was the smallest. The genetic distances of 16S rRNA, COⅠ and 18S rRNA-ITS-28S rRNA sequences among three color morphs were both small, ranging from 0-0.014 7, 0-0.021 2, and 0-0.010 3, respectively, and they did not reach the species differentiation level. The phylogenetic tree was constructed based on the COⅠ sequences, and Strongylocentrotus purpuratus was chose as the outgroup. The results showed that the white sea cucumbers were clustered into one branch, the purple and green sea cucumbers were cross-aggregated with each other and could not be distinguished.

    Application impacts analysis on natural forestry management for pine plantation in central and southern mountainous area of Shandong province
    Chun-hui LING,Ming-zhong ZHANG,Gui-yun LYU,Hao-ran CUI,Pan YAP,Ye WEI,Sheng-yuan LIU,Feng-yun MA,Hua-tian WANG,Xiu-mei LIU,Ling MA
    JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE). 2020, 55(11):  8-17.  doi:10.6040/j.issn.1671-9352.0.2020.199
    Abstract ( 94 )   HTML ( 12 )   PDF (2192KB) ( 365 )   Save
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    The near-natural management experiments were carried out at three forestry stations of Culaishan, Taishan and Mingguangsi, with long-time thinning possesses of 2, 10 and 3 years, respectively. The results revealed that: (1) The effects of thinning management could promote the seedling growth compared to the controlled treatment (CK), the main height, diameter at breast height (DBH) and canopy diameter increased by 3.13%-12.89%, 3.03%-8.91% and 2.75%-25.91%, respectively. Similarly, the annual mean diameter of residual trees height, DBH and diameter of canopy also improved by 21.43%-66.67%, 9.21%-26.15% and 64.29%-300% when suffered to near-natural processing. (2) The intermediate cutting changed the canopy gap, led to a decrease in crown closure. On the contrary, it caused an increase in plant species of shrub layer especially for the light-loving plants like Platycladus orientalis and Ailanthus altissima. Consistently, it could contribute to the herbs diversity, which caused improvements of diversity indexes like Simpson, Shannon-wiener and Gleason in pure pine stand and mixed pine-oak forest compared with that in CK. At the same time, the important values of Digitaria sanguinalis, Spodiopogon sibiricus and Carex rigescens elevated. (3) The tending measurement resulted in an improvement of soil pH, and a decrease of bulk density. As well, it had a potential to accelerate the nutrient metabolism for the increasing enzyme activities of catalase, phosphatase, sucrase and urease, which increased by 6.74%-29.33%, 4.79%-4.99%, 2.13%-10.34% and 1.25%-25.56%, respectively. It could be seen that the tending operation could benefit to the stand growth, enrich the undergrowth diversity, also improve the soil quality in different stand conditions.

    Optimal birth rate control for competing populations dependent on scale structure
    ZHANG Ping, LUO Zhi-xue
    JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE). 2020, 55(11):  18-25.  doi:10.6040/j.issn.1671-9352.0.2020.320
    Abstract ( 100 )   PDF (421KB) ( 373 )   Save
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    A competitive population model with scale structure-dependent is established, and the optimal birth-control problem of the model is discussed. Firstly, the existence and uniqueness of the system solution are proved by using the characteristic line method and the Banach fixed point theorem, and the continuous dependence of the system solution on the control variables is also proved by the comparison principle. At the end of the paper, the necessity condition of the existence of optimal control is proved by using the definition of normal cone.
    Optimality conditions on nonsmooth vector interval-valued optimization
    QIAN Xin-qiang, WANG Kai-rong
    JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE). 2020, 55(11):  26-34.  doi:10.6040/j.issn.1671-9352.0.2019.141
    Abstract ( 104 )   PDF (390KB) ( 298 )   Save
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    By using Clarke directional derivative and Clarke subdifferential, Fritz John optimal necessary conditions for weak LU efficient solutions of nonsmooth vector interval-valued optimization are obtained. Under the assumption of generalized invariant convexity and regularity of functions, KKT necessary optimality conditions, sufficient optimality conditions and related duality results are given. Some examples are used to verify the feasibility of the theory. These conclusions can solve the related problems of vector interval-valued optimization in general.
    Academic paper recommendation based on heterogeneous network embedding
    Kan XU,Rui-xin LIU,Hong-fei LIN,Hai-feng LIU,Jiao-jiao FENG,Jia-ping LI,Yuan LIN,Bo XU
    JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE). 2020, 55(11):  35-45.  doi:10.6040/j.issn.1671-9352.1.2019.017
    Abstract ( 183 )   HTML ( 15 )   PDF (4302KB) ( 400 )   Save
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    This paper focuses on the extraction and utilization of information from heterogeneous information network recommendation, and proposes a heterogeneous network embedding-based academic paper recommendation method. The proposed method uses the random walk strategy guided by the meta-path to generate the sequence of nodes. Then, for each meta-path, the unique embedding representation of nodes is learned by maximizing its co-occurrence probability with the adjacent nodes in the sequence obtained from the given meta-path. In addition, in order to fuse the low-dimensional representation of nodes in differentmetapaths into the final output of heterogeneous information network embedding, the different fusion functions are designed to achieve this goal, and attention mechanism is introduced to recommendation system. This paper applies the heterogeneous information network based on meta paths to solve the problem that most recommendation methods based on heterogeneous information networks rely on path similarity, which can not fully mine the potential structural characteristics of users and projects. We use DBLP data set to validate the effectiveness of the proposed model, which achieved better performance compared with the traditional model on RMSE.

    Fault tracing method of industrial production control data network based on SDG simplified model
    Yan-hua YANG,Li-gang YAO
    JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE). 2020, 55(11):  46-57.  doi:10.6040/j.issn.1671-9352.0.2020.353
    Abstract ( 110 )   HTML ( 9 )   PDF (1763KB) ( 326 )   Save
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    For the fault diagnosis and source tracing in industrial production control data network, this paper proposes a solution based on SDG simplified model. Firstly, a SDG model is established based on the structural characteristics of the industrial production control data network, then the search space for fault location is reduced through hierarchical and demarcated modeling method.On this basis, according to the observed signal amount extracted when the business alarm occurs, analyse the survival of the nodes based on the longitudinal data and survival data. Secondly, combined with the analysis of the characteristics of network faults, the single-node fault detemination method is used to determine whether each node device is faulty. Finally, based on the fault cause classification of the fault tracing database in the traceability diagnosis rules, the root cause of the network fault is determined. Through the test and verification method, the feasibility of the proposed method in the industrial production control data network is verified, which can meet the requirements of rapid fault tracing.

    Pythagorean fuzzy three-way concept lattice
    JI Ru-ya, WEI Ling, REN Rui-si, ZHAO Si-yu
    JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE). 2020, 55(11):  58-65.  doi:10.6040/j.issn.1671-9352.4.2020.241
    Abstract ( 128 )   PDF (543KB) ( 294 )   Save
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    Pythagorean fuzzy set theory is introduced into fuzzy three-way concept lattice. The construction of Pythagorean fuzzy three-way concept lattice is studied under the Pythagorean fuzzy formal context. First, the relationships between objects and attributes are expressed by the membership degree and non-membership degree combined with the Pythagorean fuzzy set theory. On this foundation, the definition of the Pythagorean fuzzy formal context is given. Next, based on threshold α, β and the idea of three-way decision, the object sets(the attribute sets)are divided into three parts: positive region, negative region and boundary region. On this basis, the definitions and relevant theorems of two kinds of Pythagorean fuzzy three-way concepts(the object induced Pythagorean fuzzy three-way concept and the attribute induced Pythagorean fuzzy three-way concept)are given, and the corresponding Pythagorean fuzzy three-way concept lattices are constructed. Finally, the applications of Pythagorean fuzzy three-way concept lattice in real problems are explained in detail with examples.
    Class-specific β distribution reduction in interval-valued decision systems
    HAN Shuang-zhi, ZHANG Nan, ZHANG Zhong-xi
    JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE). 2020, 55(11):  66-77.  doi:10.6040/j.issn.1671-9352.0.2020.268
    Abstract ( 109 )   PDF (2678KB) ( 364 )   Save
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    Attribute reduction is one of the important research points in rough set theory. The goal of β distribution reduction in interval-valued decision systems is to keep the corresponding β distribution of objects unchanged. In actual needs, attribute reduction usually only needs to focus on specific decision class rather than all decision classes. This paper proposes a theoretical of class-specific β distribution reduction in interval-valued decision systems. First of all, the basic concept of class-specific β distribution reduction is defined, and then the discernibility matrix corresponding to the class-specific β distribution is constructed. Finally, a class-specific β distribution reduction algorithm based on the discernibility matrices is proposed. In experiments, six UCI data sets are used to compare reduction results and reduction efficiency of BRADM algorithm and CSBRADM algorithm. The experiments results show that the reduction results of class-specific algorithm can keep the β distribution for class-specific unchanged, and reduction length of algorithm for specific class is less than or equal to reduction length of algorithm for all classes, and the CSBRADM algorithm efficiency is higher than the BRADM algorithm.
    A text classification model based on BiLSTM and label embedding
    DONG Yan-ru, LIU Pei-yu, LIU Wen-feng, ZHAO Hong-yan
    JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE). 2020, 55(11):  78-86.  doi:10.6040/j.issn.1671-9352.1.2019.024
    Abstract ( 107 )   PDF (1668KB) ( 562 )   Save
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    A text classification model based on BiLSTM and label embedding for text classification was proposed. Firstly, our method introduced the BERT model to extract high-quality sentence features. Then, we used BiLSTM and attention mechanism to get the text representations that integrate important context information. Finally, labels and words learned in the joint space, and we used the compatibility score deriving from the label-word pairs to weight the labels and sentences representations, realizing the double label embeddings. The classifier classifies sentences according to the given label information. Experimental results on five general authoritative datasets show that our method effectively improves the text classification performance, and our model has better practicability.
    Discrete sine cosine algorithm for solving large-scale 0-1 knapsack problems
    ZHENG Jian
    JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE). 2020, 55(11):  87-95.  doi:10.6040/j.issn.1671-9352.4.2020.109
    Abstract ( 99 )   PDF (552KB) ( 292 )   Save
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    According to the mathematical characteristics of the 0-1 knapsack problem(0-1 KP), this paper redesigns a discrete version of SCA(DSCA)for 0-1 KP. Within the framework of basic SCA, DSCA uses the real code to generate initial individuals, a new nonlinear exponential decreasing function is applied to adjust the individual update step size. A greedy-based repair operator is included to fix and optimize the infeasible solution. The performance of the improved algorithm was tested on two sets of large-scale 0-1 KP. The comparison with some state-of-arts algorithms confirms that DSCA is efficient and concise, not only can it provide an effective solution for 0-1 KP, but also it expands the application fields of SCA.
    Emergency decisions and coordination of closed-loop supply chain with production diseconomies under cost disruptions
    ZHONG Wei-shuo, DAI Geng-xin, MU Zong-yu
    JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE). 2020, 55(11):  96-110.  doi:10.6040/j.issn.1671-9352.0.2020.008
    Abstract ( 95 )   PDF (612KB) ( 346 )   Save
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    Aiming at the production diseconomies scale of manufacturer, the decentralized decision-making system and centralized decision-making system of manufacturer recycling and retailer recycling are constructed respectively. The emergency management problem of closed-loop supply chain under production cost disturbance is studied. The results show that: when the production cost of products is small, all kinds of equilibrium decisions made by decentralized decision-making system and centralized decision-making system under stable operation environment are robustness, and with the increase of the scale diseconomies elasticity coefficient, the disturbance interval with robustness of the optimal equilibrium decision-making in the stable operation environment is also increasing. When the production cost of the product is disturbed greatly, the retail price should be adjusted according to the disturbance direction, the product demand should be adjusted in the opposite direction, and the recycling price of waste products should be remain unchanged. In the selection of emergency recovery mode, it is better for manufacturers to directly recycle waste products. The designed contract can realize the coordination of the closed loop supply chain under normal operating environment and after disturbance.