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Autonomy for Marine Robots provides a timely and insightful overview of intelligent autonomy in marine robots. A brief history of this emerging field is provided, along with a discussion of the challenges unique to the underwater environment and their impact on the level of intelligent autonomy required.

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© 2017 Furushima et al.open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at:. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Address correspondence to this authors at the Nursing Department, Federal University of Rio Grande of Norte, Natal, Rio Grande of Norte, Brazil; Tel: (+55) 84-; E-mail. Data AnalysisData were organized in Microsoft Excel and analysed in SPSS version 19.0 for Windows Statistic. The relative and absolute frequencies were stipulated for nominal variables.

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For the numerical variables, the mean and standard deviation were determined. Inferential statistics were also used, including the chi-square, Fisher’s exact and Mann-Whitney U tests.

A p-value of. Ethical ConsiderationThe research followed the ethical and legal aspects for its development, as required by the Brazilian Resolution number 466/12 of the Brazilian National Health Council that oversees research involving human beings. This study was approved by the ethics committee of the university hospital. The approval number for this research is 848.997/2014. Patients were informed of the purpose of the research, method and possible risks, and they were asked to sign an informed consent form.

RESULTSRegarding the patients participating in the study, 55.1% were female, of whom 50% had brown skin. Of the participants, 44.9% reported having incomplete primary education, and 19.2% were illiterate. Download 7 sins game. Most of the family income (71.8%) was from one to three minimum wages, and 56.4% were retired.

In relation to age, there was an average of age of 58.3 (±17.2) years.The hospitalization time was 1 to 44 days with a mean of 17.2. Regarding the reasons for hospitalization in the ICU, there were 41 (48.2%) surgical cases; 14 (16.5%) cardiac cases; 13 (15.3%) pulmonary disorders and 17 (20%) with hepatic, renal and neurological problems.

Hypertension was present in 56.4% and diabetes in 29.5% of cases. A minority reported smoking (15.4%) and drinking (6.4%).Most patients had a high risk for developing of PU according to the Braden (74.4%), Norton (70.5%) and Waterlow (62.8%) scales, as shown in Table.In relation to scales’ scores and social and clinical data of the patients admitted to the ICU, there was a significant association between the age, hypertension, diabetes, and smoking status and the Waterlow scale. In addition, smoking was significantly associated with the Braden and Norton scales, as shown in Table. CONCLUSIONAge, tobacco use, diabetes and hypertension are associated with the risk of developing pressure ulcers in ICU patients. This finding confirms the study assumptions. Most patients had a high risk for developing a PU. Among the scales, Braden indicated a higher risk for the development of PUs in the studied patients.The practical implications of this study are that nurses should use pressure ulcer risk assessment scales in ICU patients as well as pay attention and implement preventive measures for patients admitted to the ICU considered as risk groups, such as elderly and patients with diabetes, hypertension and a smoking history.