Knowing the uncertainty in a prediction is critical when making expensive investment decisions and when patient safety is paramount, but machine learning (ML) models in drug discovery typically only provide a single best estimate and ignore all sources of uncertainty.Predictions from these models may therefore be over-confident, which can put patie
Bioactive phosphate glasses incorporated with Zn2+ (predicted to be useful for bone regeneration applications) were synthesized.Characterization of the bioglasses were done using XRD, FTIR, SEM, and EDS techniques, both prior to and after soaking in simulated body fluid (SBF) solution.The bioactive performance of samples was evaluated by incubated
Abstract This module is a computer-based learning resource that describes the anatomical characteristics of adult human dentition.This resource uses a multimedia approach that the learner can use to study the anatomy of human adult dentition.This can be used by students to assist them in learning while faculty can use this as an additional resource
In the third and fourth industrial revolutions, smart or artificial intelligence flexible manufacturing systems (FMS) seem to be the key machine equipment for capacity of factory production.However, deadlocks could hence appear due to resources competition between robots.Therefore, how to prevent deadlocks of FMS occurring is a very important and h
Dielectric constant is an important parameter for the nondestructive test of cement stabilized macadam base (CSMB) on road by ground-penetrating radar (GPR).However, few studies have been reported on the quantitative relationship between the dielectric constant and the compaction degree, strength indicators, and influencing factors of CSMB.To addre