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When communicating with cognitively impaired patients, educators should address the patient by name (even when a caregiver will provide most care), speak in simple terms, use signals (cues) that aid memory (verbal analogies, hands-on experience, demonstrations and models), and utilize strategies such as sequenced visits to build on information.
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In this paper, a software platform is proposed for data retrieval and analysis from BIM models and utilizing it efficiently during various stages of the process.
Population-based shared decision making programs, driven by claims-based predictive models and utilizing broad-based outreach efforts to engage individuals at the point of their decisions, have been in active use for over 12 years [ 15].
Model-based controllers are equipped with an integrated control model and utilize information about disturbances that act on the process.
We take the holistic pedestrian images as the input of ResNet-50 model and utilize the same preprocessing for each pedestrian image as mentioned in Section 2.1.
Unlike most methods proposed before, we adopt a generative model and utilize the reconstruction process by maximizing a posteriori estimation (MAP) through Monte Carlo methods.
Thus it becomes possible to model and utilize the quantitative nature of ChIP-seq data for investigating the biophysical rules of protein-protein and protein-DNA interaction.
An alternative approach is to depict the signaling pathway as a logical model and utilize a two-state discrete (Boolean) logic to approximate the signal propagation in the network.
We will take this model city and utilize it in each of our two case studies.
This study adopted Visual PLS 1.04 to analyze the structure model and utilized bootstrap to estimate each route system's significance level.
In the next step, a BELBIC is designed based on this dynamic model and utilized to control the real laboratorial EHS system.
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