This paper evaluates the potential of novel steel column bases to reduce residual drift risk buildings located at near-fault regions when installed post-tensioned self-centering moment-resisting frames (SC-MRFs). To this end, a prototype building is designed that consists either conventional (MRFs) or SC-MRFs equipped with base (SC-MRF-CBs). The MRFs and are used as benchmark frames. modelled i...

Science and society would benefit enormously from comprehensive phylogenetic knowledge of the Tree of Life (ToL), a framework that includes above 1.7 million species on Earth. ToL shows how living things have evolved since the origins of life billions of years ago. With existing computational approaches, we cannot produce a global estimate of evolutionary history from molecular data of all thes...

BACKGROUND The prevalence of metabolic syndrome has increased over the last few decades in adolescents and has become an important health challenge worldwide. This study analyzed the relationships between metabolic risk factors (MRF) and physical activity (PA) and physical fitness (PF) in a sample of Azorean adolescents. METHODS A cross-sectional school-based study was conducted on 417 adoles...

Image segmentation is an important task in image processing and computer vision which attract many researchers attention. There are a couple of information sets pixels in an image: statistical and structural information which refer to the feature value of pixel data and local correlation of pixel data, respectively. Markov random field (MRF) is a tool for modeling statistical and structural inf...

Several segmentation techniques were evaluated for their effectiveness in distinguishing lesion from background in dermatoscopic images of pigmented lesions (moles and melanomas). These included 5 techniques previously used for segmentation of pigmented lesions, and several new techniques based on stabilized inverse diffusion equations (SIDE) and Markov random fields (MRF). Novel multiresolutio...

Magnetorheological fluids have received widespread attention as smart materials due to their tunable properties. MRF consists of three key components including, soft magnetic particles, carrier liquids, and additives. This review details the characteristics, composition, and rheological principle of MRF, working principle of MRF devices, and their applications in other engineering arenas. The a...

For many years, object tracking in images has suffered from the problems of occlusions and illumination effects. In order to resolve occlusion problems, we have been proposing the Spatio-Temporal Markov Random Field model for segmentation of spatio-temporal images since 2000. This S-T MRF optimizes the segmentation boundaries of occluded objects and their motion vectors simultaneously, by refer...

PURPOSE: Demonstrate a novel fast method for reconstruction of multi-dimensional MR Fingerprinting (MRF) data using Deep Learning methods. METHODS: A neural network (NN) is defined using the TensorFlow framework and trained on simulated MRF data computed using the Bloch equations. The accuracy of the NN reconstruction of noisy data is compared to conventional MRF template matching as a function...

In this paper, we present IMaGe, a new, iterative two-stage probabilistic graphical model for detection and segmentation of Multiple Sclerosis (MS) lesions. Our model includes two levels of Markov Random Fields (MRFs). At the bottom level, a regular grid voxel-based MRF identifies potential lesion voxels, as well as other tissue classes, using local and neighbourhood intensities and class prior...