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The use of the proposed numerical technique enables predicting the joint strength and creating a simple and rapid methodology that can be used in the design of hybrid structures, e.g. in the selection of the joint geometry and adhesive.
This methodology enables predicting the energy demand and discomfort hours (heating and cooling) taking into account urban and building factors such as urban block type, street height-width ratio and solar orientation of the main façade, and shape factor and year of construction of the building, respectively.
This enables predicting and preparing for various aspects of various circumstances and environments in a smart home.
This enables predicting stems of different length and align them to each other.
Still, using a high-resolution DNA-microarray enables predicting fusion genes that are not expressed, i.e. not detectable by RNA-seq.
In this work we present a novel, user-friendly tool/index for calculating the mean of the typical decoding rates that enables predicting translation elongation efficiency of protein coding genes for different tissue types, developmental stages, and experimental conditions.
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The results clarify the effect of various Kansei on eye movements; thereby enable predicting people's Kansei evaluations of product forms through analyzing their eye movement.
The proposed simple connection model will enable predicting the M − ϕ behaviour of stainless steel top-seat angle bolted connections using easily obtainable geometric and material properties.
The results provide fundamental information to understand the mechanical properties of single cement-based phases at molecular level, and enable predicting the changing mechanical properties of converted CAC matrix using homogenization models.
Patient-specific simulations of bone remodelling could enable predicting how bone micro-structural integrity would be affected by bone diseases, drugs or other factors, and, ultimately could help clinicians to improve their prognoses.
In order to evaluate the performance of MapReduce based parallel BPNN enabling predicting CUGs after fault clearing, a practical Hadoop cluster was built up.
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