Here, nonetheless, is the skinny: Travis Anderson, an alcoholic, clairvoyant dot-com Dallas millionaire, is preternaturally gifted at the online game "Psychic Cow" (in which players predict the changing colors of the beast's udder).
This modelling approach uses climate and soils information to predict the changing relative success of a few main plant functional types.
The modified model is used to predict the changing shape of the flowing zone in the batch discharge of a cylindrical bunker.
PRMT is a computational analysis tool that uses the changing relative abundance of functional genes in metagenomic data between samples to predict the changing capacity of that community to consume or generate metabolites.
This study examined how giving and receiving emotional support in a smartphone-based alcoholism support group changed over time, and what factors predicted the changing patterns.
Instead, as Professor Bell predicted, the changing tide is best explained by perceived white interests.
The results provide fundamental information to understand the mechanical properties of single cement-based phases at molecular level, and enable predicting the changing mechanical properties of converted CAC matrix using homogenization models.
Shortcomings are also found in predicting the changing seasonal behaviour of monsoon climates as in India, where the winter winds blow from northeast and are relatively dry while the summer winds blow from the southwest and bring heavy rain (e.g., Acharya et al. 2011; Niu et al. 2015).
The proposed approach dynamically (1) predicts the changing program behavior on each core; (2) re-determines frequency/voltage, cache capacity and technology in each level of the cache hierarchy based on the program's scalability in order to satisfy the power and temperature constraints.
The model, in the formalism chosen here, predicts the changing incidence rate I (t) as a function of calendar time t in terms of the transmissibility, denoted β (t, τ ), an arbitrary function of calendar time t and time since infection τ. β (t, τ) typically reflects pathogen load, or perhaps more precisely pathogen shedding.
In arm's moving process, because the terrain is complex and unknown, even if the control systems has a certain ability to predict terrain, the changing of contact points in a small scale (slight slippage) is unavoidable.
