Volume 8 (2023): Issue 2 (July 2023)

This paper considers a low carbon supply chain consisting of a single manufacturer and a single retailer under the condition that the demand is uncertain. We first establish three games, including manufacturer Stackelberg (MS), retailer Stackelberg (RS) and Nash according to the different power structure of the firms. We then determine that the equilibrium stocking factors, emission reduction levels, wholesale prices and retail prices for the three models, respectively. After that, we demonstrate the effects of power structure. Results show that when the power shifts from the retailer to the manufacturer, the stocking factor decreases, whereas the wholesale price increases. Finally, we discuss the impacts of the random demand. We find that the expected profits of the firms, the emission reduction levels and the retail prices are increasing with respect to the market potential and low-carbon sensitivity coefficient, respectively. Meanwhile, they decrease with respect to the price sensitivity coefficient.

Presently, in the research processes involved in analysing the relationship between smoking and vital capacity, most researchers use statistical software to analyse, count the differences of vital capacity between different groups and carry out linear analysis or regression analysis. They cannot deeply analyse the relationship between the data, nor can they get the correlation of the data itself. Considering these limitations, this paper studies the influence of adolescent smoking on physical training vital capacity in eastern coastal areas. Based on the brief introduction of the research progress of data mining algorithm, and taking the teenagers in the eastern coastal area as the research object, the k-means algorithm and decision tree algorithm are applied to the data mining of vital capacity of physical training, after which we classify and reclassify the data, mine the rules between the data and put forward improvement strategies for the shortcomings of the algorithm itself. Finally, experiments are designed to analyse the accuracy, running time and reliability of the algorithm. The experimental results show that the improved k-means algorithm and decision tree algorithm shorten the running time and enhance the stability, and can realise the classification and mining of vital capacity data of physical training, so as to improve the reliability of experimental result analysis.

P-sets (P stand for Packet) and P-matrix are novel and effective mathematical tools for studying dynamic information systems. In this paper, the concept of P-information mining is given by using the dynamic characteristics of P-sets and P-matrix structure. In addition, the reasoning theorem of P-matrix and the reasoning structure are given. Moreover, the information intelligent mining method under the condition of P-matrix reasoning is obtained. As the application, intelligent recognition of information image was shown.

In this paper, a universal computational algorithm is constructed by using F and G series, which can be applied for any of conic orbit. In particular, to find the solution of the two–body problem. In this context, the solution of geocentric system motion of the Mercury planet in the solar system is found using the obtained computational algorithm.