This paper presents a framework for the analysis and exploration of performance space. It enables the user to visualize performances in relation to other performances of the same piece based on a set of features extracted from audio. A performance space is formed from a set of performances through spectral analysis, alignment, dimensionality reduction and visualization. Operation of the system ...

A complex exhibiting valence delocalization was prepared from 3,5-bis(2-pyridyl)-1,2,4,6-thiatriazinyl (), an inherently redox active pincer-type ligand, coordinated to iron ( ()). Complex can be prepared via two routes, either from the reaction of the neutral radical with FeCl2 or by treatment of the anionic ligand () with FeCl3, demonstrating its unique redox behaviour. Electrochemical studie...

low level lasers, cold or soft lasers: these lasers do not produce thermal effects on tissues and induce photoreactions in cellsthrough light stimulation which is called photobiostimulation. power of these lasers is usually under 250mw. the main point differentiating low level lasers and high power ones is the activation of photochemical reactions without heat formation. the most important fact...

this study was conducted in 2008 at the research field of university of tehran, karaj. the experiment was designed as a randomized complete block design with three replications. treatments were: atrazine 1kg/ha, alachlor 4kg/ha, atrazine+alachlor (1+4) kg/ha, nicosulfuron 80 g ai/ha, furamsulfuron 45g ai/ha, rimsulfuron 25g ai/ha, nicosulfuron+furamsulfuron (80+45) g ai/ha, nicosulfuron+rimsulf...

This article deals with the problem of noise reduction for hands-free sound pick-up. Our context is more precisely the sound pick-up using single microphone in cars. In such environments, the speech is highly corrupted by engine and aerodynamics noises. The methods proposed here try to enhance noise reduction systems based on Wiener filtering in the frequency domain by taking into account the s...

Dimensionality reduction helps to identify small numbers of essential features of stochastic fibre networks for classification of image pixel density datasets from experimental radiographic measurements of commercial samples and simulations. Typical commercial macro-fibre networks use finite length fibres suspended in a fluid from which they are continuously deposited onto a moving bed to make ...

In this paper, a new method for PPI (proteinprotein interaction) prediction is proposed. In PPI prediction, a reliable and sufficient number of training samples is not available, but a large number of unlabeled samples is in hand. In the proposed method, the denoising autoencoders are employed for learning robust features. The obtained robust features are used in order to train a classifier wit...

Density estimation is a crucial component of many machine learning methods, and manifold learning in particular, where geometry is to be constructed from data alone. A significant practical limitation of the current density estimation literature is that methods have not been developed for manifolds with boundary, except in simple cases of linear manifolds where the location of the boundary is a...

Progressive loss of bone mineral density around the femora! component of total hip replacement continues to pose a threat to long term prosthetic survival. A linear study was undertaken to measure bone mineral density on a monthly basis following total hip arthroplasty in 11 male patients. The opposite femur was used as the control measurement. Bone mineral density was unchanged at two mo...