Classifier calibration is the process of converting classifier scores into reliable probability estimates. Recently, a calibration technique based on isotonic regression has gained attention within machine learning as a flexible and effective way to calibrate classifiers. We show that, surprisingly, isotonic regression based calibration using the Pool Adjacent Violators algorithm is equivalent ...

OBJECTIVE The angiotensin-converting enzyme gene is one of the most studied candidate genes related to atrial fibrillation. Among the polymorphisms of the angiotensin-converting enzyme gene, the 2350 G/A polymorphism (rs4343) is known to have the most significant effects on the plasma angiotensin-converting enzyme concentration. The aim of the present study was to investigate the association of...

The mechanism of action of peptide inhibitors on angiotensin I-converting enzyme (Al-converting enzyme) was studied in relation to the substrate requirements of the enzyme in vivo in the dog lung and in vitro in plasma. l-</-Asp-8-Ile-AI prepared by the solid-phase technique was compared with the known peptide inhibitors of Al-converting enzyme. BPP5il (Pyr-Lys-Trp-Ala-Pro) and SQ 20881 (Pyr-Tr...

diabetes mellitus is a multifactorial disease. it has recently been shown that an insertion (i)/deletion (d) polymorphism exists in the angiotensin-converting enzyme (ace) gene that can affect the serum ace level. there are three genotypes: dd, di, and ii, with the ace level being highest in dd, intermediate in di, and lowest in ii. in the present investigation, 170 patients with type 2 diabete...

The effect of chronic administration of angiotensin converting enzyme inhibitor on the development of hypoxic pulmonary hypertension was studied in rats. Male Wistar rats were-exposed for 3 weeks to isobaric hypoxia (10% O2) and treated with 10 mg/kg b.w. of Ramipril daily. The haemodynamic properties of the pulmonary vasculature were then measured in isolated blood-perfused lung preparation. R...

Three-dimensional computer reconstructions of gene expression data will become a valuable tool in biomedical research in the near future. However, at present the process of converting in situ expression data into 3D models is a highly specialized and time-consuming procedure. Here we present a method which allows rapid reconstruction of whole-mount in situ data from mouse embryos. Mid-gestation...

In this paper, a new face recognition technique is introduced based on the gray-level co-occurrence matrix (GLCM). GLCM represents the distributions of the intensities and the information about relative positions of neighboring pixels of an image. We proposed two methods to extract feature vectors using GLCM for face classification. The first method extracts the well-known Haralick features fro...

This paper describes scalability issues of Evolutionarydriven automatic synthesis of electronic circuits. The article begins by reviewing the concepts of circuit evolution and discussing the limitations of this technique when trying to achieve more complex systems. The paper continues by describing techniques developed by the authors to partially overcome the limitations of evolution, such as t...

In this paper, we present a spectro-temporal feature extraction technique using sub-band Hilbert envelopes of relatively long segments of speech signal. Hilbert envelopes of the sub-bands are estimated using Frequency Domain Linear Prediction (FDLP). Spectral features are derived by integrating the sub-band Hilbert envelopes in short-term frames and the temporal features are formed by convertin...