An efficient 146-line 3D sensitivity analysis code of stress-based topology optimization written in MATLAB

Optimization and Engineering - This paper presents an efficient and compact MATLAB code for three-dimensional stress-based sensitivity analysis. The 146 lines code includes the finite element...     

Unsupervised and supervised classification of hyperspectral imaging data using projection pursuit and Markov random field segmentation

This work presents a classification technique for hyperspectral image analysis when concurrent ground truth is either unavailable or available. The method adopts a principal component analysis (PCA)-based projection pursuit (PP) procedure with an entropy index for dimensionality reduction, followed by a Markov random field (MRF) model-based segmentation. An ordinal optimization approach to PP determines a set of ‘good enough projections’ with high probability, the best among which is chosen with the help of MRF model-based segmentation. When ground-truth is absent, the segmented output obtained is labelled with the desired number of classes so that it resembles the natural scene closely. When the land-cover classes are in detailed level, some special reflectance characteristics based on the classes of the study area are determined and incorporated in the segmentation stage. Segments are evaluated with training samples so as to yield a classified image with respect to the type of ground-truth data. Two illustrations are presented: (i) an AVIRIS-92AV3C image with concurrent ground truth – for both supervised and unsupervised cases and (ii) an EO-1 Hyperion sensor image with concurrent ground-truth at detailed level classes. Provided with the illustrations are comparisons of classification accuracies and computational times of other approaches with those of the proposed methodology. Experimental results demonstrate that the proposed method provides high classification accuracy and is not computationally intensive.     

Sex difference in distribution and iron responsiveness of the two ferritins of rat cardiac and skeletal muscle

The presence of two electrophoretically and structurally distinguishable forms of ferritin ("fast" and "slow") in cardiac and skeletal muscle (diaphragm) of the rat was confirmed. Although the total amount of cardiac ferritin showed no difference in concentration in male and female rats, the distribution between the fast and slow species was markedly different in the two sexes, the fast form predominating in the cardiac muscle and diaphragm of the female. In agreement with this, the rates of synthesis and of degradation of the fast species were greater in the female, while the opposite obtained for the male. Iron administration stimulated synthesis of each ferritin species in the cardiac muscle and diaphragm of both sexes. Induction of cardiac connective tissue hypertrophy with isoproterenol inverted the ratio of slow to fast ferritin in female rats, while iron administration along with isoproterenol restored this to normal. It is concluded that the metabolism of ferritin in cardiac and skeletal muscle is sensitive both to sexual status and to iron administration.     

Correction to: An efficient 146-line 3D sensitivity analysis code of stress-based topology optimization written in MATLAB

Optimization and Engineering -