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In the process of CO2 geological sequestration, the mechanical properties of coal will be changed after supercritical CO2 interacts with coal. Based on this, in this paper, Brazilian splitting test and variable angle shear test were carried out on anthracite under different test conditions, and the changes of tensile strength, shear peak strength, residual strength, internal friction angle and cohesion of coal under different test conditions were studied and compared from two aspects of dry/saturated moisture content and supercritical CO2 soaking time(3, 5, 7 days). The results show that the tensile strength, shear strength and residual strength of coal decrease with the increase of supercritical CO2 soaking time, but the decreasing amplitude decreases gradually; the degradation effect of mechanical parameters of coal under the action of water + supercritical CO2 is greater than that of drying test group; the internal friction angle and cohesion tend to decrease with the increase of supercritical CO2 action time, but the effect of supercritical CO2 on cohesion is more obvious, but the effect of internal friction angle is less.

When the missing values are obtained in incomplete fuzzy probabilistic rough sets over two universes,the time efficiency of the traditional static algorithm for updating approximations in incomplete fuzzy probabilistic rough sets over two universes is too low.To solve this problem,a label-based approach for dynamic updating approximations in incomplete fuzzy probabilistic rough sets over two universes isstudied.Firstly,some definitions of incomplete fuzzy probabilistic rough over two universes are given,then based on the matrix method,a label-based model of incomplete fuzzy probabilistic rough sets over two universes is proposed,and the related theorems are proved.After that,a label-based method for calculating approximations in incomplete fuzzy probabilistic rough sets over two universes is proposed and analyzed.Then,when the missing values are obtained in incomplete fuzzy probabilistic rough sets over two universes,the theorem for dynamic updating its approximations is proved,and a label-based algorithm for dynamic updating approximations in incomplete fuzzy probabilistic rough sets over two universes is designed and analyzed.Finally,the simulation experiments are conducted on six datasets from UCI and three man-made datasets.The experimental results show that the proposed dynamic updating algorithm can improve the time efficiency of updating approximations.Then an example shows that the dynamic algorithm does not affect the correctness of the results when updating approximations,which proves the validity of the proposed dynamic updating algorithm.

In order to obtain the optimal granulations after reduction from the intuitionistic hesitant fuzzy decision information system with multiple attributes,this paper deals with the uncertain information in this system from the perspective of multi-gra-nulation rough sets,and studies optimal granulation selection method based on multi-granulation rough intuitionistic hesitant fuzzy sets.Firstly,on the basis of intuitionistic hesitant fuzzy sets,attribute information is introduced,and the concept of rough intui-tionistic hesitant fuzzy sets is given.Then four upper and lower approximation models of optimistic and pessimistic multi-granulation rough intuitionistic hesitant fuzzy sets are proposed,and the related properties are discussed.Secondly,mainly based on the lower approximation of the pessimistic multi-granulation rough intuitionistic hesitant fuzzy set,this paper defines the granu-lation quality similarity degree and internal/external granulation importance degree,and the related algorithm of optimal granulation selection is designed.Finally,through the wine evaluation case,optimal granularities are calculated based on the four cases of optimistic and pessimistic multi-granulation rough intuitionistic hesitant fuzzy set's upper and lower approximation,then analyzes results.It is verified that algorithms are effective for the reduction of intuitionistic hesitant fuzzy decision information system.

Multi-granulation fuzzy probabilistic rough set (MFPRS) model over two universes has various applications in recent years. However, data are typically changing with time in real-life applications. When data changes, people have to spend a lot of unnecessary time to recalculate the approximations in MFPRS over two universes. To address this problem, we design incremental algorithms based on the object-first approach for updating approximations in MFPRS over two universes while the objects are added into or removed from the two universes. Firstly, considering a case where the equivalence class of the object with respect to the fuzzy relation could be empty, we introduce a model of type-empty MFPRS over two universes. Then, based on the matrix, a traditional algorithm is introduced to calculate approximations in MFPRS over two universes. In addition, by optimizing the traditional algorithm, we design the object-first algorithm which could calculate approximations more efficient in MFPRS over two universes. After that, based on the object-first algorithm, four object-first incremental algorithms are designed for updating approximations in MFPRS over two universes while the objects are added into or removed from two universes. Finally, experimental results show that the proposed object-first incremental algorithms for updating approximations in MFPRS over two universes are more efficient in comparison with the non-incremental algorithms and the traditional incremental algorithms.

The SF6/N2 gas mixture as a preliminary alternative to SF6 is used in the power industry gas insulation medium. At present, the application of the 30% SF6/70% N2 gas mixture has made some progress, but the influence law of microwater content on its discharge decomposition characteristics is still unclear. In this paper, we simulate the defects of metal protrusions in the equipment through needle-plate electrodes, carry out SF6/N2 96hPD and its decomposition characteristic test under different microwater contents, and find that the increase of the microwater content in the SF6/N2 gas mixture will exacerbate the phenomenon of PD, resulting in the enhancement of the average discharge, and under the action of prolonged PD, more characteristic decomposition products will be generated, of which the SOF2 content is the highest, which can be as one of the characteristic components for fault severity judgment. This study provides a certain reference for the specific requirements of the microwater content of the SF6/N2 gas mixture in power equipment. [ABSTRACT FROM AUTHOR]

The experiment investigated the immunomodulatory effects of APS on the avian infectious bronchitis attenuated vaccine, aiming to explore the potential application of APS as a vaccine adjuvant. A total of 120 fourteen-day-old chickens were randomly divided into three groups with four replicates per group and one chickens per replicate, designated as the APS+H120 co-immunization group, the H120 vaccine group, and the PBS negative control group. All groups of chickens were immunized three times at two-week intervals, with each nasal inoculation consisting of 100 μL per chicken. Fourteen days after the final immunization, the chickens were intranasally challenged with the infectious bronchitis virus strain M41. The clinical symptoms of chickens were observed, and the amount of lung and liver virus was detected. The results showed that compared with the H120 vaccine group, the APS+H120 vaccine combined immunization can induce the production of IBV specific IgG and sIgA in 14-day-old chickens, effectively protecting them against the attack of allogenic strains, and the survival rate of laying hens was 100%. The APS+H120 group did not show the typical clinical symptoms of avian infectious bronchitis, and the production performance of laying hens was not affected. The study indicates that APS has a promoting effect on the immune response of chickens to the infectious bronchitis H120 attenuated vaccine. [ABSTRACT FROM AUTHOR]