Nowadays the multi-core processors and threaded parallel programs are increasingly more used.However,the uncertainty of multi-threaded program leads to concurrency problems such as data race,atomicity violation,order violation and deadlock in the process of program running.Recent researches show that data race accounts for the largest proportion Ar
Monitoring programs require more advanced data management for the registered time series.Classical temporal series decomposition cannot fulfil current needs regarding adequate data representation, optimization of the spatial-temporal sampling resolution and predictive power.In the manuscript at hand, we will demonstrate that Gaussian process regres
Background: Androgen deprivation therapy (ADT) with luteinizing hormone-releasing hormone (LHRH) agonists is well established for the treatment of men with metastatic prostate cancer.As clear differences in efficacy, safety, or tolerability between the available LHRH agonists are lacking, the healthcare management team needs to look to practical di