In our study, two models of meta-analysis for dichotomous outcomes were utilized: the random-effects model and the fixed-effects model [25,26].
Accord to the theory above, we designed the RWS Random Walk Samplingg) method to detect the overlapping communities, utilizing the random walk method to find the closest friends for each node.
In addition, we utilize the random matrix theoretic approach to assess and possibly improve the specification of priors used in the physics-based approach.
In order to select n seeds, each node utilizes the random selection mask function which generates a random number with the size of 255 bits using the address and the UID previously shared in the authentication procedure and IV assignment process, separately.
Once randomly fragmented, cDNA first-strand synthesis is primed utilizing the random hexamers, which diminishes the priming of the 3' poly(A) tail; it is then followed by second-strand synthesis.
The genetic maps generated to date have utilized the following markers; random amplified polymorphic DNA (RAPDs) [[ 8],[ 9]], RFLPs [[ 10]-[ 13]] and amplified fragment length polymorphism (AFLPs) [[ 14]-[ 16]] and simple sequence repeats (SSRs) [[ 17],[ 18]].
However, it should be pointed out that, examining the way the features are utilized in the random forest, one can only rank the features from the most relevant to the totally irrelevant ones.
For this, we proposed the CESM (Cost Efficient Scheduling Method) method, which utilizes the weighted random schedule policy to assign the devices to the tasks, to reduce the competition of the task on the efficient low-cost devices.
As previously stated, we utilized the frequentist method with random sampling to delineate the I D thresholds for all mass movements, landslides only, and debris flows only (Fig. 4).
