Abstract: The present disclosure provides an automated system for isolating stromal vascular fraction cells from the mammalian tissue. The system comprises a plurality of containers for storing buffer solutions, tissue samples and digestive buffers. A tissue processing unit fluidly connected to the containers for processing the tissues. The tissue processing unit performs at least one of washing process, digestion process, phase separation process and combination thereof for separating an aqueous fraction of tissue and a fatty fraction. A cell concentration unit fluidly connected to the tissue processing unit for receiving the aqueous fraction of tissue from the tissue processing unit. The cell concentration unit filters the aqueous fraction of tissue by vibrating a filtration assembly by a filter vibrator. A waste collection unit fluidly connectable to the tissue processing unit and cell concentration unit is provided for receiving waste tissues.

Abstract: A method, apparatus, and computer program product are disclosed for managing query execution plans for a workload. In one embodiment, the method includes gathering an initial set of performance characteristics generated from a database management system (DBMS) executing a database workload according to one or more query execution plans (QEPs). The database workload includes one or more database statements. The method determines a QEP change for one or more QEPs of the database workload. In addition, the method gathers a subsequent set of performance characteristics generated from the DBMS executing the one or more QEPs of the database workload influenced by the QEP change. Furthermore, the method determines a performance difference created by the QEP change based on the initial set of performance characteristics and the subsequent set of performance characteristics and responds to the performance difference in accordance with a monitoring policy.

Abstract: A method, apparatus, and computer program product are disclosed for managing query execution plans for a workload. In one embodiment, the method includes gathering an initial set of performance characteristics generated from a database management system (DBMS) executing a database workload according to one or more query execution plans (QEPs). The database workload includes one or more database statements. The method determines a QEP change for one or more QEPs of the database workload. In addition, the method gathers a subsequent set of performance characteristics generated from the DBMS executing the one or more QEPs of the database workload influenced by the QEP change. Furthermore, the method determines a performance difference created by the QEP change based on the initial set of performance characteristics and the subsequent set of performance characteristics and responds to the performance difference in accordance with a monitoring policy.