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“Nurses are responsible for the safety of their patients. So, preventing error and maximizing quality of care for patients requires that those in health care be open to a variety of strategies for modifying work schedules and preventing fatigue that may require

changes in long standing behaviors and preferences. Aim: To examine the effect of nurses’ work Selleck FHPI hours and fatigue on occurrence of medication errors. Subject and methods: An exploratory, descriptive design was utilized to accomplish this study. The sample included all available nurses (n=29) were work in the two medical oncology units and (n=20) nurses work in ICU and conducted at the National Cancer Institute (NCI), Cairo-University. Tools for Data Collection were five included Socio demographic data, working hours data sheet, (CIS) chronic fatigue instrument, Need for recovery instrument and Medication errors observational sheet. Results: indicated that there was correlation between working hours and fatigue related to physical activity items in

both units. There was correlation between medication errors and concentration fatigue subscale, motivation subscale at the ICU unit. Medication AG 14699 preparation errors and concentration fatigue subscale in the medical unit were also correlated. Conclusion: This study concluded that there was no statistical significant correlation between working hours and medication errors with both wings of errors preparation and administration. Also, the study concluded that correlation between medication preparation and Omipalisib PI3K/Akt/mTOR inhibitor administration errors and concentration fatigue subscale. [Lamiaa I. Keshk and Dalia S. Abd El-Moneem. Effect of Nurses' Work Hours and Fatigue on occurrence of Medication Errors in ICU and Medical

Oncology Unit -Cairo University. Life Sci J 2012;9(3):347-355]. (ISSN: 1097-8135). http://www.lifesciencesite.com. 48″
“Although historically distributed along the northeast coast of the United States (US), grey seals (Halichoerus grypus (Fabricius, 1791)) were considered locally extinct until the late 1980s when three naturally re-established pupping colonies were discovered. Two large populations in Canada, the Gulf of St. Lawrence (GSL) and Sable Island (SI) seals, are possible sources of immigrants for the recovering US population. To assess the stock structure of grey seals in the northwest Atlantic, tissue samples were collected from Canadian and US populations for genetic analyses. We examined nine highly variable microsatellite loci (n = 158; mean number of alleles per locus = 7.22). When population differentiation was assessed without a priori inference of potential subpopulations, all individuals were placed into one population. Pairwise FST values showed little difference in allele frequencies between the SI and the GSL or the Canadian and the US samples. We sequenced a 319 bp segment of the mitochondrial control region and identified 25 haplotypes (n = 163). Nucleotide diversity was similar at SI, GSL, and the US sites.