Extending the seepage theory, a microprestress-solidification theory was proposed by Bažant and his co-workers to predict creep using thermodynamic approach (Bažant 1972; Jirásek and Havlásek 2014).
The haplodiploid genetic system and extreme multiple mating by the queen both lead to differential matrigene patrigene relatedness among workers and to predicted matrigene patrigene conflict over phenotypes associated with nepotistic rearing of new queens, sex allocation, colony fission, nestmate recognition, and worker reproduction (Haig 2002; Queller 2003; Dobata and Tsuji 2012; Kronauer 2008).
This study showed that, in a population of young workers wh no or limited antecedents of LBP at baseline, physical examinations, as routinely assessed in occupational medicine, are not useful to predict workers at risk for the development of back disorders one year later.
Companies are now using insurers and employee wellness firms to mine data about employees' prescription drugs and shopping habits to predict workers' healthcare needs.
For example, suppose (as seems likely) that NLH workers' productivity is harder to predict than natives.
The primary objective of the model is to predict workers' work schedules according to mode choice, which is considered a skeletal activity schedule in activity-based travel demand models.
For example, the response to sucrose solution of young wild-type workers can be used to predict their foraging behavior 2 3 weeks later [6], [8], [9]; bees that are more responsive to sucrose are characterized by a bias toward collecting pollen whereas less responsive bees collect more nectar.
Thurman and co-workers utilized DHS exclusively to predict interactions.
To do so, we observe the input and output rates of the RSPs, as well as the number of workers waiting for new work to predict overload and underload situations.
The devised DVFS strategy is able to cope with a variable system load, by adjusting the frequency and voltage (in runtime) to the required computational resources, based on the observation of the input and output rates of the RSPS, as well as on the number of workers waiting for new work, to predict overload and underload situations.
In some companies, Mr Johnson was able to predict a worker's length of employment from how much access he had.
