Abstract Lots of real-world optimization problems are inherently constrained multi-objective optimization problems (CMOPs), but the existing constrained multi-objective optimization evolutionary algorithms (CMOEAs) often fail to balance convergence and diversity effectively.Therefore, a novel constrained multi-objective optimization evolutionary al
Digital Transformation of Organization as Way to Raise the Level of Digital Maturity of Industry 4.0
The article studies key issues connected with raising the level of digital maturity and passing on to Industry 4.0.The focus is made on the necessity to change the organization as a whole and at the same time to introduce digital technologies.Digital transformation means, first of all, changes in the system of organization management and its Runnin
Development and validation of a novel lipid metabolism-related gene prognostic signature and candidate drugs for patients with bladder cancer
Abstract Background Bladder cancer (BLCA) is a common cancer associated with an unfavorable prognosis.Increasing numbers of studies have demonstrated that lipid metabolism affects the progression and treatment of tumors.Therefore, this study aimed to explore the function and prognostic value of lipid metabolism-related genes in patients with bladde