OBJECTIVES In aortic valve repair, reduction and stabilization of the ventriculo-aortic junction (VAJ) is generally recommended. In this in vitro study, we compare three techniques of annuloplasty: the subcommissural annuloplasty (SCA), the internal ring (IR) and the external ring (ER) annuloplasty. METHODS Ten fresh porcine aortic valve preparations were tested in a pulsatile mock loop. Each...

In this study, we review the current knowledge and recent insights on the role of epigenetic factors in the development of human insulin resistance (IR)- and metabolic syndrome (MS)-related phenotypes, and attempt to lay a framework to consider IR as a potentially reversible incapacity to control metabolic homeostasis that is strongly influenced by the interplay between external and internal cu...

This paper presents a novel instance-based learning methodology the Binomial-Neighbour (B-N) algorithm. Unlike to other k-Nearest Neighbour algorithms, B-N employs binomial search through vectors of statistical features and distance primitives. The binomial combinations derived from the search with best classification accuracy are distinct primitives which characterise a pattern. The statistica...

We introduce a probabilistic classifier that combines multiple instance learning and relational learning. While multiple instance learning allows automated cancer diagnosis from only image-level annotations, relational learning allows exploiting changes in cell formations due to cancer. Our method extends Gaussian process multiple instance learning with a relational likelihood that brings impro...

The preparation of the facial and meridional isomers of [Ir(pyalk)3] (pyalk = 2-(2-pyridyl)isopropanoate), as model complexes for a powerful water oxidation catalyst, is reported. The strongly donating N3O3 ligand set is very oxidation-resistant, yet promotes facile metal-centered oxidation to form stable Ir(IV) compounds. The Ir(III/IV) reduction potentials of the two isomers differ by 340 mV ...

The oxidation and reduction of an Ir(100) surface using 2.5, 5, 10 mbar O2 partial pressure a sample temperature 775 K have been studied by high-energy X-ray diffraction (HESXRD) which allowed to record large volumes reciprocal space in short time periods. complex 3D patterns could be disentangled stepwise procedure. For the 2.5 experiment measurements indicate formation Ir(100)-O c(2 × 2) oxyg...

Data in the real world is far from being perfect. The appearance of noise a common issue that arises limitations data acquisition mechanisms and human knowledge. In classification, label will hinder performance almost all classifiers, inducing bias built model. While has recently attracted researchers’ attention standard it only begun to be studied multiple instance classification. this work, w...

We introduce a graphical framework for multiple instance learning (MIL) based on Markov networks. This framework can be used to model the traditional MIL definition as well as more general MIL definitions. Different levels of ambiguity – the portion of positive instances in a bag – can be explored in weakly supervised data. To train these models, we propose a discriminative maxmargin learning a...

Multiple-Instance Learning via Embedded Instance Selection (MILES) is a recently proposed multiple-instance (MI) classification algorithm that applies a single-instance base learner to a propositionalized version of MI data. However, the original authors consider only one single-instance base learner for the algorithm — the 1-norm SVM. We present an empirical study investigating the efficacy of...

Automatic screening of Age-related Macular Degeneration (AMD) is important for both patients and ophthalmologists. The major sign of contracting AMD at the early stage is the appearance of drusen, which are the accumulation of extracellular material and appear as yellow-white spots on the retina. In this paper, we propose an effective approach for drusen segmentation towards AMD screening. The ...