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A.was employed B.is being employed C.were employed D.are being employed 2.It’s reported that many a shelter hospital ___ at present in Shanghai. A.is. being built B.was built C.are being built D.have been ...
Bureau of LaborStatistics (BLS) combines estimates of hours worked by the unincorporated self-employed,which are derived from data in their household survey (CPS), with estimates of hours worked by wage and salary workers, which are derived primarily from their establishment survey, theCurrent ...
In the self-efficacy theory (Bandura,1977), self-efficacy refers to the degree to which an individual estimates their ability to perform a given task. In other words, self-efficacy can be used to assess how easy it is for a user to perform a task using technology (Purnomo and Lee,2013)...
Workers must use PPE and clothing if their health and safety can't otherwise be adequately protected. Where PPE is necessary, employers must provide it to employees free of charge. Self-employed people are also required to obtain it for themselves. ...
Since NUPACK is a single-threaded application, we wrote Python wrappers around NUPACK and employed a ProcessPool from the pathos multiprocessing library to distribute NUPACK logic, reads and writes to disk across all available cores. This dramatically improved NUPACK running time from more than 5 h...
3) The wage premium for postgraduates relative to undergraduates is about 30%, but is small for public sector workers and large for the self-employed. 4) The postgraduate wage premium is similar in magnitude for male and female workers. 5) The wage reduction after age 60 is smaller for ...
Older workers with a vocational degree are less likely to be employed than older workers with a general degree. Their main explanation for this phenomenon – which they term life course vocational decline – is that over the career, specific occupational skills become obsolete faster than general ...
In order to reduce the chance of training a subpar model, we employed a method called Hyperband13, implemented in the BHOB package26. Using this approach, we started by training \(2^4\) models, all of them used the default weight initialization distributions defined in Keras (Glorot uniform...
The latter model is employed to generate predictions at the prediction time tp. We also consider the unmodelable variables and clinical outputs at the diagnosis time td, taken randomly between t0 ± 6 months, to build the patient ensemble. Finally, we use the results of the full model ...