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A. Paliwal, T. Vaissiere, A. Krais, C. Cuenin, M. Cros, D. Zaridze, Anush Moukeria, P. Boffetta et al.

M. Aoun, M. Chater, P. Marécot, C. Especel, G. Lafaye

A. E. D. L. Monteros, G. Lafaye, G. Torres, J. Barbier

Slavica Erić, M. Kalinić, A. Popović, H. Makic, Elvisa Civic, M. Bektasevic

Aqueous solubility is an i mportant factor influencin g several a spects of the phar macokinetic profile of a drug. Nu merous p ublications pre sent di f- ferent methodologies for the de velopment of reliable computational models for the prediction of solubility fro m stru cture. The quality of s uch models c an be significantly affected by the accuracy of the em ployed experimental solubility data. In this work, the importance of the accuracy of the experimental solubility data used for mod el training was inv estigated. Three data sets were u sed as training sets - data set 1, containing solubility data collected from various lite- rature sources using a few criteria (n = 319), data set 2, created by substituting 28 valu es fro m data set 1 wit h unifor mly deter mined ex perimental d ata fro m one laboratory ( n = 319), and data set 3, cre ated by includi ng 56 ad ditional components, for which th e solubility was al so determined under uniform con- ditions in the same laboratory, in the d ata set 2 (n = 37 5). The sel ection of the most significant descriptors was performed by the heuristic method, using one- -parameter and multi-parameter analy sis. The correlations between th e most significant descriptors and solubility were established using multi-linear regres- sion analysis (MLR) for all t hree inve stigated data sets. Notable differen ces were observed between the equations corresponding to different data sets, sug- gesting that models updated with new experimental data need to be additionally optimized. It was succe ssfully shown that the inclusion of unifor m experimen- tal data co nsistently leads to an i mprovement in th e correla tion coefficie nts. These findings contribute to an emerging consensus that improving the reliabi- lity of solubility prediction requires the inclu sion of many diverse co mpounds for which solubility was measured under standardized conditions in the data set.

Nedim Tuno, Admir Mulahusić, Aleš Marjetič, D. Kogoj

M. Lalković, J. Kozarski, L. Panajotović, Goran Šijan, D. Djurdjević, N. Mikovic, M. Apostolović, M. Pavlovic et al.

The aim of this study was to test a new experimental design of venous system arterialization on the rabbit ear arterialized venous flap (AVF) model. Total number of 10 "Big Chinchila" rabbits were divided in two experimental groups. On both ears of the five rabbits (Group 1) we have performed our original method of venous system arterialization with microsurgical arterialization of the central artery and vein with the preservation of central and peripheral vascular perfusion; at both ears of five rabbits (Group 2) we have performed AVF according to Byan et al., (1995). Vital AVF surface and necrosis percentage were determined in both experimental groups at day 1 and day 14 and results were compared using Student t-test. The results of our experiment indicate that our new experimental design of the AVF on rabbit ear model has better hemodynamic conditions, improves AVF survival and gives significantly bigger vital flap surface at 14 days after venous system arterialization.

Jaime Martín, Mario Ibáñez, N. M. Madrid, R. Seepold

This paper presents a home healthcare system that implements videoconference calls based on the UPnP standard to support telecare services. Firstly, it reviews the state of the art of telecare and applied technologies. Our approach describes a system architecture that provides capabilities to integrate different telecare services in a residential gateway. It addresses the challenge of the integration of patient relatives and friends in the telecare service to enhance the user’s confidence. We propose a videoconference system to communicate healthcare actors (patient, nurse, doctor and relatives) based on a widespread standard that enables an automatic discovery of multimedia services and presents a seamless streaming negotiation.

Julio Cano, R. Seepold, N. M. Madrid

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