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Table of Content

      
    20 July 2023
    Volume 58 Issue 7
    Channel entry and buyback strategies of heterogeneous products under mixed leasing and retail channels
    Youguo JING,Junling REN,Xiaoyang LIU,Hailong WANG,Jian SONG
    JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE). 2023, 58(7):  1-17.  doi:10.6040/j.issn.1671-9352.0.2021.617
    Abstract ( 274 )   HTML ( 0 )   PDF (1615KB) ( 224 )   Save
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    A supply chain of mixed leasing and retail channels comprising of a manufacturer, a leaser and a retailer is considered. The manufacturer distributes two kinds of heterogeneous products through leasing and retail channels respectively, and buybacks part of the old rental products from the leasing channel in order to avoid the competition conflict between the retail channel and the leasing channel through which these old rental products may flow into the retail market. The following channel entry and buyback strategies of two heterogeneous products: high-quality and low-quality products entering the leasing (retail) and retail (leasing) channels respectively, which are referred to as strategies of H and L. Two two-cycle dynamic game models of channel entry and buyback strategies are compared and analyzed by using the dynamic game theory. The results show that, under the above two strategies, when the buyback price is high, a so-called buybacks situation will arise. In the case of buyback situation, the buyback price is always lower than the resale price, the manufacturer's profit margin through the retail channel is always higher than that of the leasing channel, and the manufacturer's profit margin of the strategy L is higher than that of the strategy H; the buyback price, buyback quantity and resale price of the strategy H are always higher than that of the strategy L. Finally, the numerical simulation analysis shows that when the product quality difference coefficient is small, the manufacturer should choose the strategy L; otherwise, the manufacturer should choose the strategy H.

    R&D innovation strategy and behavior choice of competition drug supply chain
    Yan WEN,Xiyuan YU,Jinsong HU
    JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE). 2023, 58(7):  18-31.  doi:10.6040/j.issn.1671-9352.0.2021.417
    Abstract ( 276 )   HTML ( 1 )   PDF (2658KB) ( 142 )   Save
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    Based on the short-sighted and far-sighted behaviors of members of competitive drug supply chain, four dynamic differential game models were constructed to study the influences of different behavior choices, changes in competition intensity and reimbursement ratio of medical insurance on drug manufacturers' R & D innovation investment, medical institution' cost-sharing strategies and supply chain performance. The study found that although the competition between drug manufacturers harms the profits of short-sighted manufacturer, it increases the overall performance of the drug supply chain and promotes the higher R & D innovation investment of far-sighted manufacturer. With higher reimbursement rate, both far-sighted drug manufacturer and medical institution have increased their profits, but not short-sighted drug manufacturer. In addition, medical institution sharing costs with one manufacturer would depress the profits of the other, when medical institution choose the behavior mode of sharing drug R & D innovation costs for two competing manufacturers simultaneously, they can benefit the profits of all members of the drug supply chain.

    MDR mechanism of isoliquiritigenin and derivatives
    Yunrong JING,Qiuju MA,Yang CHEN,Wenli LIU,Wei ZHOU,Linxiang ZHAO
    JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE). 2023, 58(7):  32-36, 51.  doi:10.6040/j.issn.1671-9352.0.2022.256
    Abstract ( 175 )   HTML ( 2 )   PDF (917KB) ( 101 )   Save
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    The structures of isoliquiritigenin derivatives, ISL-1 and ISL-2, were characterized and evaluated for their MDR reversal activity in vitro. Canine kidney cell MDCK-MDR1 model with high expression of P-gp was used to investigate their interaction with P-gp. The experimental results showed that isoliquiritigenin, ISL-1 and ISL-2 exhibited MDR reversal activity on breast cancer MDR cell line MDA435/LCC6 MDR in different levers. They can significantly inhibit the efflux of P-gp, which are weak substrates of P-gp. It is expected to become MDR reversal agents with high efficiency and low toxicity.

    Dynamic neighborhood rough sets approaches for updating knowledge while attributes generalization
    Chengxiang HU,Li ZHANG,Xiaoling HUANG,Huibin WANG
    JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE). 2023, 58(7):  37-51.  doi:10.6040/j.issn.1671-9352.4.2022.5896
    Abstract ( 237 )   HTML ( 0 )   PDF (9251KB) ( 167 )   Save
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    We propose the matrix-based dynamic methods for updating three-way regions in neighborhood decision systems while attributes generalizing. First, we construct the matrix representation strategy of three-way regions for each decision class by means of neighborhood relation matrix and neighborhood distance matrix.Subsequently, considering the variation of the attributes, the updating strategies for related matrices are analyzed by using prior knowledge. Based on these strategies, we propose the matrix-based incremental methods for updating neighborhood three-way regions of each decision class. Finally, we evaluate the efficiency of the proposed incremental methods on public available data sets.

    Lyapunov stability of decision evolution set
    Yuwen HU,Jiucheng XU,Qianqian ZHANG
    JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE). 2023, 58(7):  52-59.  doi:10.6040/j.issn.1671-9352.4.2022.6266
    Abstract ( 185 )   HTML ( 0 )   PDF (2066KB) ( 97 )   Save
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    By using the Lyapunov second method, the evolution matrix of the decision information system is extended and reconstructed, and the Lyapunov function of the decision information system at a certain point in time is established, and the stability of the decision information system is judged by the function.

    Prediction method of IDH1 mutation status of glioma based on improved EfficientNetV2
    Huachang XU,Qian XU,Yulin ZHAO,Fengning LIANG,Kai XU,Hong ZHU
    JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE). 2023, 58(7):  60-66.  doi:10.6040/j.issn.1671-9352.4.2022.2945
    Abstract ( 169 )   HTML ( 0 )   PDF (2784KB) ( 194 )   Save
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    The paper proposes a method for predicting the IDH1 mutation status of gliomas based on improved EfficientNetV2. Firstly, k-means clustering algorithm is used to label pseudo-labels for unlabeled glioma MRI data, and the Vision Transformer network is used to correct the pseudo-labels to realize glioma data amplification. Secondly, the coordinate attention is added to the EfficientNetV2 model, and the fruit fly optimization algorithm is used to give the optimal weight to the pseudo-label data during the model training process. Finally, the glioma IDH1 mutation status is classified, and the prediction accuracy is 96.32%. The experimental results show that the proposed method can non-invasively and accurately predict the IDH1 mutation status of gliomas before surgery.

    Extension sequential three-way decision model and its application
    Junyu WANG,Yafeng YANG,Jingxuan XUE,Lihong LI
    JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE). 2023, 58(7):  67-79.  doi:10.6040/j.issn.1671-9352.4.2022.9768
    Abstract ( 232 )   HTML ( 0 )   PDF (6139KB) ( 138 )   Save
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    The basic method of extension evaluation and the "rule by three divisions" decision-making idea are integrated, and the sequential idea is introduced to construct an extension sequential three-way decision model and realize the purpose of dynamic decision-making and mining optimization indicators. Firstly, the data is standardized and the weight of attributes is calculated. The extension evaluation method is used as the evaluation criterion of the three-way decisions, new decision rules are defined, and the rationality of dividing the three domains is explained. Then, according to the attribute weight, the sequential evaluation attributes of multiple granularity are obtained, the multi-stage three-way decision is made, and the decision results are given. Finally, according to the decision-making results, the indicators that cause changes in sample division are analyzed, and optimization suggestions are put forward. The model was applied to the analysis of water resources carrying capacity, and compared with the entropy weight matter-element extension decision-making model. The results show that the evaluation results obtained by using the extension sequential three-way decision model and the entropy weight matter-element extension decision-making model are basically consistent, the accuracy rate reaches 84.55%, which verifies the validity and practicability of the model.

    A new filled function method for global optimization
    Haiyan LIU,Shouheng TUO
    JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE). 2023, 58(7):  80-87.  doi:10.6040/j.issn.1671-9352.0.2022.344
    Abstract ( 200 )   HTML ( 0 )   PDF (1357KB) ( 216 )   Save
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    A new hybrid single-parameter filled function is proposed which is also continuous and differentiable. Combined with an evolutionary algorithm, a new filled function algorithm is proposed. The new filled function algorithm can improve the efficiency of the optimization by repeatedly escaping from current local optimum to better areas with better solutions. To enhance the explore ability of the proposed algorithm, we use uniform distribution to make better population diversity. Numerical experiments show the simplicity and efficiency of the proposed algorithm.

    Optimization of blockchain sharding by profit incentive algorithm based on edge computing
    Yun LIU,Pengjun ZHU,Luyao CHEN,Kai SONG
    JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE). 2023, 58(7):  88-96.  doi:10.6040/j.issn.1671-9352.0.2021.681
    Abstract ( 214 )   HTML ( 1 )   PDF (1672KB) ( 325 )   Save
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    A Profit Incentive (PI) algorithm is proposed. First, the delay and energy consumption of a block generated by a single node are calculated, and the final profit of the node is calculated according to the delay and energy consumption. Next, the average partition credibility of the node is calculated according to the credibility model based on edge computing. Next, the node chooses the partition that can maximize its profit without reducing the other nodes′ profit and average partition credibility. Finally, a stable sharding structure is obtained to maximize the profit of all nodes and the reliability of sharding. Simulation results show that, compared with OmniLedger, domain based sharding scheme and credibility based blockchain algorithm, PI algorithm can improve the stability of blockchain sharding without reducing throughput.

    Assessment of procedural knowledge: from problem spaces to discriminative knowledge structures
    Xiyan CAO,Fucai LIN,Ming JIN,Jinjin LI
    JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE). 2023, 58(7):  97-105, 114.  doi:10.6040/j.issn.1671-9352.0.2022.156
    Abstract ( 188 )   HTML ( 0 )   PDF (950KB) ( 48 )   Save
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    In order to reduce repeated testing and evaluate 'relative independence' items on assessment of knowledge, the paper proposes the approach based on the assessment of procedural knowledge that the problem space approach derives the discriminative (bi-discriminative) knowledge structure via skill map. Some theoretical conditions and an algorithm for deriving a discriminative (bi-discriminative) from a problem space are illustrated.

    The consistency of CUSUM-type estimator in variance change-point model
    Huimin ZHU,Zinan WANG,Min GAO,Wenzhi YANG
    JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE). 2023, 58(7):  106-114.  doi:10.6040/j.issn.1671-9352.0.2022.198
    Abstract ( 138 )   HTML ( 1 )   PDF (1110KB) ( 145 )   Save
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    The consistency problem of CUSUM-type estimator is investigated in the variance change-point model based on the mixing error sequences. The strong convergence rate and weak convergence rate for the CUSUM-type estimator are obtained by the high moment condition and low moment condition, respectively. It extends some theoretical results of the variance change-point model based on the independent and identically distributed errors. As an application, the variance change-point method is used to analyze whether the volatility of US Advanced Micro Devices? stock returns has changed. Then, the position of the change in volatility is found accurately.

    Analysis of evaluation model on teaching effect based on cluster analysis and discrimination information
    Xin JIN,Feifan YU,Yutong DAI,Ziqian LI,Yongkui ZOU
    JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE). 2023, 58(7):  115-120.  doi:10.6040/j.issn.1671-9352.0.2022.523
    Abstract ( 221 )   HTML ( 1 )   PDF (826KB) ( 111 )   Save
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    In this paper, a cluster analysis algorithm and discriminant information method are used to construct a correlation model for evaluating the academic level of college students and student management measures. Based on the average number, median number, pass rate, excellent rate and the degree of distinction, a coefficient is proposed to evaluate the effectiveness of teaching reform measures and the effectiveness of the coefficient is analyzed. We apply this method to 9 years of cumulative grade data including multiple courses, analyze the correlation between grade changes and related management measures, and verify the validity of the model.

    Nonemptiness and boundedness of weakly efficient solution sets for vector mixed variational inequalities
    Xiufeng YANG,Jianghua FAN
    JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE). 2023, 58(7):  121-126.  doi:10.6040/j.issn.1671-9352.0.2021.657
    Abstract ( 144 )   HTML ( 1 )   PDF (824KB) ( 128 )   Save
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    By using the necessary and sufficient conditions for the nonemptiness and boundedness of the set of solutions for mixed scalar variational inequalities, the Mosco convergence of convex functions sequences and the connectedness of dual cones, the necessary and sufficient conditions for the weakly efficient solution sets of mixed vector variational inequalities in reflexive Banach spaces to be a nonempty bounded set are obtained.