A concept recently developed by scholars in psychology and biology is “pathological altruism.” (Oakley 2013, Oakley et al. 2012). A pathological altruist is defined as “a person who sincerely engages in what he or she intends to be altruistic acts, but who harms the very person or group he or she is trying to help, often in unanticipated fashion; or harms others; or irrationally becomes a victi...

Fibroblast activation is a hallmark feature of pathological remodeling the heart and represents an attractive target for therapeutic intervention. Pharmacological inhibition chromatin enzymes reduces cardiac fibrosis, but underlying transcriptional regulatory mechanisms remain poorly understood. Using single-cell genomics to profile alterations in landscape during stress-induced remodeling, Ale...

We have analyzed first and second order multiresolution texture features in order to discriminate normal and pathological liver cell nuclei. Several combinations of first and second order texture features discriminate animals from the four different groups. The best feature pair (graylevel Variance of the euchromatine and Diagonal moment of the GLCM) gave a correct classification result of 95 %...

Voice registers are widely affected when voice diseases appear. These diseases have to be diagnosed and treated during an early stage. Detection of voice diseases may be carried out by means of acoustic analysis of voice register. Many algorithms to calculate acoustic parameters have been developed and have been demonstrated that there is a great correlation between parameter deviations and imp...

The effectiveness of ten different feature sets in classification of voice recordings of the sustained phonation of the vowel sound /a/ into a healthy and pathological classes is investigated as well as a new approach to building a sequential committee of support vector machines (SVM) for the classification is proposed. The optimal values of hyper-parameters of the committee and the feature set...

The number of people affected by speech problems is increasing as the modern world places increasing demands on the human voice via mobile telephones, voice recognition software, and interpersonal verbal communications. In this paper, we propose a novel methodology for automatic pattern classification of pathological voices. The main contribution of this paper is extraction of meaningful and un...

Aim: To detect pathological brain conditions early is a core procedure for patients so as to have enough time for treatment. Traditional manual detection is either cumbersome, or expensive, or time-consuming. We aim to offer a system that can automatically identify pathological brain images in this paper. Method: We propose a novel image feature, viz., Fractional Fourier Entropy (FRFE), which i...

Feature selection becomes a central task when ’signature’ profiles specific to a pathological status have to be extracted from high dimensional gene expression or proteomic data. In the present paper, we propose a feature selection method based on Singular Value Decomposition (SVD) and apply it to SELDI-TOF/MS proteomic data from a cohort of Type 2 Diabetics affected by Glomerulosclerosis and M...