Econea®, or 4-bromo-2-(4-chlorophenyl)-5-(trifluoromethyl)-1H-pyrrole-3-carbonitrile, is a new type of environmentally friendly anti-fouling compound used in the immersed coatings of commercial sea going vessels. This paper reports the development of a new analytical method to directly detect the active biocide Econea® in an artificial sea water matrix using liquid chromatography mass spectrome...

Background: Contact lenses are transparent, thin plastic disks that cover the surface of the cornea. Appropriate lens prescription should be performed properly by an expert to provide better visual acuity and reduce side effects. The lens administration is a multi-stage, complex and time-consuming process involving many considerations. The purpose of this study was to develop a decision support...

Site-specific pK(a) determination of the carboxylate-binding subunit in artificial peptide receptors is achieved by pH-dependent UV resonance Raman scattering with subsequent matrix factorization. This quantitative methodology allows to determine accurately the local acidity of a binding site based on the complete vibrational spectrum and, most importantly, without the need of selecting any par...

Giant cell tumor of bone is a locally aggressive tumor with a high local recurrence rate. Several adjuvant therapies have been employed to reduce the recurrence rate, but their effectiveness remains controversial. The authors attempted local administration of zoledronic acid, a nitrogen-containing bisphosphonate that strongly inhibits bone resorption, as an adjuvant treatment for histologically...

Introduction: Artificial neural networks are a type of systems that use very complex technologies and non-algorithmic solutions for problem solving. These characteristics make them suitable for various medical applications. This study set out to investigate the application of artificial neural networks for differential diagnosis of thalassemia minor and iron-deficiency anemia. Methods: It is...

In recent years, a number of artificial intelligent services have been developed such as defect detection system or diagnosis system for customer services. Unfortunately, the core in these services is a black-box in which human cannot understand the underlying decision making logic, even though the inspection of the logic is crucial before launching a commercial service. Our goal in this paper ...

We propose a new matrix learning scheme to extend Generalized Relevance Learning Vector Quantization (GRLVQ), an efficient prototype-based classification algorithm. By introducing a full matrix of relevance factors in the distance measure, correlations between different features and their importance for the classification scheme can be taken into account and automated, general metric adaptation...

Import of authentic or artificial precursor proteins into the matrix of isolated yeast mitochondria can proceed via a translocation intermediate that is lodged between the two mitochondrial membranes. The intermediate accumulates when import is arrested by depleting mitochondria of ATP. Generation of the intermediate requires a potential across the inner membrane. The intermediate is membrane-b...

A Euclidean distance matrix is one in which the (i, j) entry specifies the squared distance between particle i and particle j. Given a partially-specified symmetric matrix A with zero diagonal, the Euclidean distance matrix completion problem (EDMCP) is to determine the unspecified entries to make A a Euclidean distance matrix. We survey three different approaches to solving the EDMCP.We advoca...

Feedback delay networks (FDNs) are often used in the context of artificial reverberation and are a class of sparse IIR filters. FDNs are based on a feedback loop with multiple channels containing delay elements, as well as a mixing matrix providing a connection between the channels. An example of a simple FDN is shown in Figure 1. For a practical FDN implementation, many parameters have to be c...