In order to facilitate the rapid construction of such signaling network models, we devised a file format called the Connectivity Format.
Based on the analytical model, we devise an energy-efficient scanning algorithm, which enables an mobile station (MSTA) to decide (1) whether to conduct a scan operation in the current 802.16e cell, and (2) if so, how to configure the inter-scan interval considering the energy consumption due to the scan operation.
Based on an ordinal logistic regression model, we devised two independent nomograms to predict the findings of adenoma, high-grade dysplasia (HGD-CIS), and invasive carcinoma, separately in both main and branch-duct IPMN.
In this paper, for the investigation of the long-time dynamics of the model we devised and adopted a fast version of the Category Game that we briefly describe here, referring to a forthcoming paper for further details.
To support this model, we devised an experiment to demonstrate that SQLLNAKYL-specific CD8+ T cells contribute to the neuropathology seen during ECM.
In order to find the ancestry estimates that maximize the probability in the new model, we devised a dynamic programming algorithm that enumerates over the positions in the window, and for each position computes the likelihood of having one ancestry upstream and another downstream of that position.
The mathematical reference model we devised is simplistic in that it omits the explicit consequences of macromolecular crowding and diffusion barriers: With respect to diffusion the cytosol cannot be considered to be a homogeneous aqueous environment as it is densely crowded by organelles and macromolecules.
The simulation results obtained using this approach are highly significant under a random model that we devise.
To analyze how LD patterns vary with IGC rates and crossover models, we have devised a simple way of extracting LD measurements from independent simulation runs and of obtaining average values from them.
We devise two models (denoted as Model 1 and Model 2) that theoretically quantify expected compositions of nucleotides, codons, and amino acids, beginning with only GC and purine contents, which are easily derived from input sequences.
