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30 liguori laura-las-nuevas-tecnologias
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LIBERTAGIA è UN AZIENDA CHE OPERA A LIVELLO MONDIALE ED HA DIVERSE SEDI NEL MONDO! PER TUTTI I NUOVI ISCRITTI UN PACK BRONZE IN OMAGGIO. Per Maggiori info contattami su skype: vintradework
Presentazione libertagiaitalia
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Vincenzo Cascio
New Zealand health sector has increasing demands in theageing population and ongoing inflation of medical costs. These demands are growing, and the importance of technology could optimise the healthcare sector performance. Advancement in technology drives Electronic Health Records implementation to add substantial value to health delivery systems. The investment and promotion of health informationinfrastructure have positioned New Zealand as a world leader in the field of primary care sector. Factors such as organisation structure, culture, leadership and workflow design are important to achieving successful implementation of Electronic Health Records. This review intends to critically appraise the advantages of EHRs over paper-based records (PBRs). It outlines the measures introduced by Ministry of Health to implement EHRs across the health sector in New Zealand. Furthermore, the review will provide an international comparison in implementing EHRs with that of New Zealand.
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Antitubercular activity of 5-nitrofuran-2-yl Deriva tives series were subjected to Quantitative Struc ture Activity Relationship (QSAR) Analysis with an effo rt to derive and understand a correlation between t he biological activity as response variable and differ ent molecular descriptors as independent variables. QSAR models are built using 40 molecular descriptor dataset. Different statistical regression express ions were got using Partial Least Squares (PLS) ,Multip le Linear Regression (MLR) and Principal Component Regression (PCR) techniques. The among these techni que, Partial Least Square Regression (PLS) technique has shown very promising result as compar ed to MLR technique A QSAR model was build by a training set of 30 molecules with correlation coe fficient ( ) of 0.8484 , significant cross validated correlation coefficient ( ) is 0.0939, is 48.5187, for external test set ( _ ) is -0.5604, coefficient of correlation of predicted data set ( _ ) is 0.7252 and degree of freedom is 26 by Partial Least Squares Regression technique.
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