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Due to self-shading and a less favourable orientation, roof B has significantly lower solar insolation than roof A. Using the methods described in the methods section, we assessed the impact of relevant design parameters (panel dimensions and strip orientation) on solar insolation, panel bending and surface deviation of strips.
As described in 'Evaluation' section, we assessed the performance of our phenotype prioritization method by comparing the obtained results against the known gene disease assocations contained in OMIM's MorbidMap and model disease associations curated in the MGD.
In this section we assessed the trials for issues such as baseline imbalances, respect of allocation assignment, similarities between clusters, information bias, parallel non-trial interventions, changes in general living conditions and implementation of the intervention.
Taking into account the information contained in the completed questionnaire on the Malawi health research program (see the "NHRS conceptual framework" section), we assessed the sub-functions and allocated them a percentage score ranging from 0%, if they were non-existent or dead, to 100%, if their performance was excellent or they were flourishing (see Figure 2).
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In this section we assess the emissions of CF4 and C2F6 associated with aluminum production by first accounting for total anthropogenic PFC emissions and then identifying the contribution from the aluminum industry.
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In this section, we assess the performance of the proposed CFO and DOA estimation algorithm from computer simulations.
In this section, we assess the proposed RD-RR STAP scheme utilizing simulated data.
In this section, we assess the performance of different C2EM programs under a variety of conditions.
In this section, we assess the performance of BEENISH, iBEENISH, MBEENISH, and iMBEENISH protocols using MATLAB.
In the next section we assess the causation of this relationship.
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