706 resultados para Mulit-generational planning
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This job planning toolkit has been developed by the Public Health Agency (PHA) in partnership with the Northern Ireland Practice and Education Council for Nursing and Midwifery (NIPEC). This job planning toolkit was designed for nurses in roles who have the title Clinical Nurse Specialist and carry a defined caseload of patients and/or run their own clinics. The toolkit provides information to support: ��.������������ Clinical Nurse Specialists in meeting the requirements of their job
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Delivering Care - Nurse staffing in Northern Ireland is the outcome of a commission undertaken by the PHA Director of Nursing from the DHSSPS Chief Nursing Officer and approved by the Minister of Health in 2014.� The aim of the Delivering Care project is to support the provision of quality care which is safe and effective in hospital and community settings.
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This paper presents a method based on a geographical information system (GIS) to model ecological networks in a fragmented landscape. The ecological networks are generated with the help of a landscape model (which integrate human activities) and with a wildlife dispersal model. The main results are maps which permit the analysis and the understanding of the impact of human activities on wildlife dispersal. Three applications in a study area are presented: ecological networks at the landscape scale, conflicting areas at the farmstead scale and ecological distance between biotopes. These applications show the flexibility of the model and its potential to give information on ecological networks at different planning scales.
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The aim of this book is to survey on different Land Use Planning and safety approaches in vicinity of industrial plants. As this research is associated with three broad fields of Land Use Planning, safety and security, the set principle is to avoid unnecessary and over detailed information, but including the useful ones to provide a comprehensive resource which can be applicable for several purposes. Besides, the proposed method, which is explained in Chapter 7, can initiate a new field for future of Land Use Planning in vicinity of industrial plants.
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PURPOSE: Early assessment of radiotherapy (RT) quality in the ongoing EORTC trial comparing primary temozolomide versus RT in low-grade gliomas. MATERIALS AND METHODS: RT plans provided for dummy cases were evaluated and compared against expert plans. We analysed: (1) tumour and organs-at-risk delineation, (2) geometric and dosimetric characteristics, (3) planning parameters, compliance with dose prescription and Dmax for OAR (4) indices: RTOG conformity index (CI), coverage factor (CF), tissue protection factor (PF); conformity number (CN = PF x CF); dose homogeneity in PTV (U). RESULTS: Forty-one RT plans were evaluated. Only two (5%) centres were requested to repeat CTV-PTV delineations. Three (7%) plans had a significant under-dosage and dose homogeneity in one deviated > 10%. Dose distribution was good with mean values of 1.5, 1, 0.68, and 0.68 (ideal values = 1) for CI, CF, PF, and CN, respectively. CI and CN strongly correlated with PF and they correlated with PTV. Planning with more beams seems to increase PTV(Dmin), improving CF. U correlated with PTV(Dmax). CONCLUSION: Preliminary results of the dummy run procedure indicate that most centres conformed to protocol requirements. To quantify plan quality we recommend systematic calculation of U and either CI or CN, both of which measure the amount of irradiated normal brain tissue.
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ABSTRACT This study aimed to identify the employer attractiveness factors prioritized by different generations: Baby Boomers, Generation X, and Generation Y. The survey was conducted with a sample of 937 professionals, working in various areas and companies, most of them were managers and had a high education level. The Employer Attractiveness Scale proposed by Berthon et al. (2005) was adopted and the results indicate that, when choosing a company, the generations under study have specific features regarding the attractiveness attributes they prioritize. It was also observed that Generation Y discriminates and ranks such attributes more clearly than the others. Possible implications for employer branding and research limitations are discussed at the end of the article.
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Annual Report, Agency Performance Plan
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Newsletter for Information Technology Department
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Newsletter for Information Technology Department
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Newsletter for Information Technology Department
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Newsletter for Information Tehcnology Department
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Newsletter for Information Technology Department