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In addition to the transcriptomic similarity of phylotypic stages between different species, transcriptome age index (TAI) based methods, which address the total evolutionary ages of expressed genes in each developmental stage, show convergent evolution matching an hourglass pattern of embryogenesis in animals and plants [ 5, 6].
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Thirdly, a robust controller is designed using H∞ method, which addresses input constraints of the AHV by additional linear matrix inequalities (LMIs).
With the aim of keeping the desired features of the IMC design method, we propose a new H∞ control design method which addresses open issues and also can be used for both stable or unstable plants in a coherent framework.
One of the most well-known approaches is the embedding based method which addresses this challenge by solving a relaxed optimization problem with only continuous inputs and then projecting the relaxed solution back to obtain a solution to the original problem.
Cattaert et al. [ 19] have developed FAM-MDR method, which addresses correlation between observations in family-based studies and extends the model based MB-MDR approach [ 24] to handle continuous covariates and continuous phenotype.
Existing guidelines and methods protocols which address quality and rigour in qualitative research provide only limited and indirect guidance on how ITR techniques impact on data quality[ 10, 19- 22].
Accordingly, solution methods are needed which address the issues of accurately calculating the force of attraction for closely spaced, polarised, dielectric particles; while at the same time are amenable to the material boundaries of various particle geometries.
This paper presents two computational methods for estimating social media sentiment which address the challenges associated with Web-based analysis.
The low use of MRDS is also expected due to the fast development of closely related spatially explicit capture-recapture (SECR) methods, which we address next (in fact, conceptually MRDS represents a special case of SECR, with known locations, as described by Borchers, 2012).
We aim at developing a novel, traditional prediction method, named HuMiTar, which addresses some of the drawbacks of the existing seed-based methods.
After extracting the CCs in the main textblocks, we find textlines in the textblocks by using the method in [25], which addressed the textline detection problem by partitioning extracted CCs into subsets corresponding to textlines.
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