Immune checkpoint proteins, such as PD-L1 and PD-1, are important in several cancers; however, their role in osteosarcoma (OSA) and soft tissue sarcoma (STS) remains unclear.Our aims were to determine whether subsets of OSA/STS harbor tumor-infiltrating lymphocytes (TILs) and express PD-L1, and how PD-L1 expression is related to clinical outcome.Ti
BackgroundCardiovascular diseases (CVD) are currently the leading cause of premature death worldwide.Model-based early detection of high-risk populations for CVD is the key to CVD prevention.Thus, this research aimed to use machine learning (ML) algorithms to establish a CVD prediction model based on routine physical examination indicators suitable
Background: Existence or non-existence of adverse selection in insurance market is one of the important cases that have always been considered by insurers.Adverse selection is one of the consequences of asymmetric information.Theory of adverse selection states that high-risk individuals demand the insurance service more than low risk individuals do
A regularized linear programming problem of finding permissible air pollution emission rates for multiple sources of a number of industrial plants is formulated in the paper.The objective of Brake solving that problem is to obtain the maximum profit under emission rate limits and conditions of proportional distribution of permissible emission rates