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AimThe study (PROSPERO: CRD42021240905) aims to reveal the relationships among red meat, serum lipids and inflammatory biomarkers.Methods and resultsPubMed, EMBASE and the Cochrane databases were explored through December 2021 to identify 574 studies about red meat and serum lipids markers including total cholesterol (TC), triglyceride (TG), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), C-reactive protein (CRP) or hypersensitive-CRP (hs-CRP). Finally, 20 randomized controlled trials (RCTs) involving 1001 people were included, red meat and serum lipid markers and their relevant information was extracted. The pooled standard mean difference (SMD) was obtained by applying a random-effects model, and subgroup analyses and meta-regression were employed to explain the heterogeneity. Compared with white meat or grain diets, the gross results showed that the consumption of red meat increased serum lipid concentrations like TG (0.29 mmol/L, 95% CI 0.14, 0.44,PP = 0.21), LDL-C (0.11 mmol/L, 95% CI −0.23, 0.45, P = 0.53), HDL-C (−0.07 mmol/L, 95% CI −0.31, 0.17, P = 0.57),CRP or hs-CRP (0.13 mmol/L, 95% CI −0.10, 0.37,P = 0.273).ConclusionOur study provided evidence to the fact that red meat consumption affected serum lipids levels like TG, but almost had no effect on TC, LDL-C, HDL-C and CRP or hs-CRP. Such diets with red meat should be taken seriously to avoid the problem of high lipid profiles.Systematic review registration[https://www.crd.york.ac.uk/PROSPERO], identifier [CRD42021240905].

Through analyzing the characteristic of genetic algorithm and Job Shop scheduling Problem, a new genetic algorithm is proposed. This algorithm is based on the mechanism of co-evolution and natural selection. The parents and the genetic operators are selected by the competitive principle. Therefore, this algorithm can not only denotes parallelism in the course of GA, but also develops the solution quality to the Job Shop scheduling problem. The computation results validate the effectiveness of the proposed algorithm.

The evolution of employees and firms is a process of interactive coevolution. This paper uses logistic model to prove the coevolution can make employees and firms break though the existing capacity constraints and gain further development and evolution. In order to improve the coevolution between employees and firms, it is necessary for managers to understand the nature of human resources and coevolution between employees and firms, combine with the rule of law, ethics and love, pay attention to the psychological contract of employees, lay stress on the recruitment of the talent, attach importance to positive and negative effects resulted from the training of employees and do emotional investment to create harmonious emotional environment to elude its risk.

This paper discusses the relationship between technology spillover and the stability of cooperation based on the research of technology component, coupling and evolution. Moreover, this paper suggests an artificial societies using Multi-Agent model. This paper proves that technology spillovers as a cooperative pattern is effective and it also impels the enterprise building the confidence to accelerate the process of innovation. At last, the paper analyzes empirically the Microsoft Company combining the model.

Research on the efficiency of the capital market can be traced to the work that Louis Bachelier, a French scholar, did in 1900. However, it has not been emphasized. Half a century later, Eugene F. Fama, a well-known American scholar, conducted the research again and published a paper entitled "The Behavior of Stock Market Price". Since then, the study on the efficiency of the capital market has been concerned widely and become an eternal theme. Efficient market hypothesis laid the foundation for the development of modern financial theory, such as the pricing of financial assets and the management of financial risk. In 1990, the establishment of Shanghai stock market and Shenzhen stock market symbolized that our capital market had entered a new development phase, the empirical analysis about its' efficiency also attracted attention from plenty of scholars. On the basis of relevant research in the world, with all the historic data since the birth of Shanghai stock market, this paper selectively uses the statistical analysis method to study Shanghai composite index, do research on the effect of Shanghai stock market, and, from the aspects of basic analysis and dynamic analysis, proves that the Shanghai stock market is a progressive weak-form efficient market.

This paper studies on the components of cooperative technology innovation. By constructing the cooperative technology innovation model based on Multi-Agent, we examine the mutual effects mechanism of technology spillover in cooperation and enterprises' innovation competence. We present the simulation models and examine the validity of model. We conclude that enterprises' innovation competence increased by the level of cooperation technology spillover in Multi-Agent cooperation system. We also conclude that the credit mechanism can impel the technology spillover and enhance the innovation competence of the cooperation system.