This paragraph is intended to take into account "covered data" cases and also those non-covered data cases that are independently reportable for some other reason (e.g., "medical treatment" or "day of restricted work activity").
The finite support solution is superior to the zerofilled solution for both the noisy and noiseless data cases.
Data cases were developed by assigning a redox status to samples derived from a regional groundwater quality database.
The HSCRF is capable of learning rich hierarchical models with reasonable accuracy in both fully and partially observed data cases.
The data cases shown that the delay of scanner, 'edge effect' and the unstable temperature field could be detected by comparing the photodiode data of the molten pool.
In addition, two particular data cases known to be misclassified by traditional IEC/IEEE code are correctly interpreted by SE-FNTDS.
They ensure that customers have all the data, cases, and testimonials they might need to guide their decision making, and they lay out a suite of options, continually adjusting the offering as customer demand evolves.
Using cases and control subjects with complete data (cases, 82; control subjects, 144), delivery with forceps was associated with a 10-fold increased risk of perineal injury (odds ratio, 10.8; 95% CI, 5.2-22.3) compared to noninstrumented deliveries.
Since determination of the lag-phase of fibrillation and fibril elongation rate requires an acceptable fit of a Boltzmann sigmoid function to ThT binding data, cases where there was no sigmoidal response were not included in the analysis (see Supplementary Table 1).
The relationship between the actual structural and noise dynamics and their discrete special-form ARMAX-type representation is studied for each one of the vibration displacement, velocity and acceleration data cases, and a novel and effective modal analysis approach is introduced that, unlike previous schemes, is capable of operating on any one of these types of data records.
Comparison of the proposed model predictions with the results from two empirical models currently being implemented in design works, a neural network-based model from literature and also the field data shows that the EPR model is capable of capturing, predicting and generalizing predictions to unseen data cases, for lateral load bearing capacity of piles with very high accuracy.
