Genetic load expresses the loss in mean fitness of a population because of the genetic variability present. The quantitative discussion of various genetic loads is provided with important meaning for research into evolution of species on realistic level. The past theory on genetic load starts off with equilibrium of population to investigate the evolution of species on realistic level. However, the evolution is a displacement on equilibrium of population. This is just made up of a contradiction between theory and praxis. We branch out the past theory on genetic load, and give out a general theoretic frame describing the various genetic loads. By the use of this theoretic frame the genetic loads in an equilibrium population can be represented, and the genetic loads in a non-equilibrium population and their change can also be simulated. Thus this theoretic frame overcomes the shortcoming of past theory on genetic loads, which can't describe non-equilibrium population and conflicts with praxis of biological evolution sometimes, and offers a sort of credible simulation methods for research into evolution of species.
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PLoS One
January 2025
School of Humanities, Ningbo University of Finance and Economics, Ningbo, Zhejiang, China.
Lightweight container technology has emerged as a fundamental component of cloud-native computing, with the deployment of containers and the balancing of loads on virtual machines representing significant challenges. This paper presents an optimization strategy for container deployment that consists of two stages: coarse-grained and fine-grained load balancing. In the initial stage, a greedy algorithm is employed for coarse-grained deployment, facilitating the distribution of container services across virtual machines in a balanced manner based on resource requests.
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December 2024
AO Research Institute Davos, Clavadelerstrasse 8, 7270 Davos, Switzerland.
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January 2025
School of Mechanical Engineering, Liaoning Technical University, Fuxin, 123000, China.
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Key Laboratory of Laboratory Medicine, Ministry of Education of China, and Zhejiang Provincial Key Laboratory of Medical Genetics, School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou 325035, China.
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January 2025
Institute of Optical Functional Materials for Biomedical Imaging, School of Chemistry and Pharmaceutical Engineering, Shandong First Medical University & Shandong Academy of Medical Science, Taian, Shandong 271016, PR China.
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