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Problem is thirty.
If a problem is 30, the problem is the person who sits 30 cm from the computer screen.
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The complexity of the problem is furthermore exacerbated by the different level of the functional annotation coverage in different organisms, thus making very difficult the effective transfer of the available functional knowledge from one organism to another.
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Furthermore, the problem is a lack of vitamin A - not of golden rice - and this can be accessed more cheaply through other natural foods such as green vegetables and supplement tablets.
Furthermore, this problem is proven to be NP-hard, which leads us to developing an effective approximation by heuristically restricting the search space (i.e., TRCRea).
Furthermore, the problem is modeled as a mixed integer linear programming and solved by improved ϵ-constraint approach (IEA) with CPLEX solver.
Furthermore, the problem is reformulated by introducing an extra decision vector to transform the original constraints into linear constraints, and then, a two-phase method is presented to solve the problem efficiently.
Furthermore, this problem is more challenging than both car model and face verification tasks, since it is desired to identify/verify pairs of individual vessels by looking only at their appearances which have more diversity.
Furthermore, the problem is addressed with regard to novices as well as proficient learners and we also sought to determine whether learning remains effective in a near-transfer test as well as a far-transfer test.
For both soils, the non-significant impact of low N levels on yield of lettuce could be partly attributed to the high demand of leafy vegetable including lettuce for N. Furthermore, the problem is severe in carbon depleted soil 2 having low clay and available P contents.
Furthermore, another problem is the unknown consequences of failure to eliminate naturally-occurring NMD targets [35].
Furthermore, the problem is NP-hard [ 39] and cannot even be approximated in time 2 log 1 − ε N where ϵ is small positive quantity.
Furthermore, this problem is crucial when a study intends to detect and identify growth factors or cytokines that are secreted or released from keratinocytes at different levels of the epidermis.
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