4 resultados para Android,Multihoming,LISP,LISPmob,Performance,Test,Development,Analysis


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Background: A core component of nurse education is clinical practice in order to support the development of clinical skills and competence. Assessment and measurement of the clinical competence of nursing students is important to gauge their professional development and educational needs.

Aim: To evaluate the impact of an Older Persons’ Assessment Educational Workbook (OPAEW) and explore second year nursing students’ competence and their opinions and use of the workbook.

Methods: A ‘before and after’ pre-experimental design was undertaken with n=6 second year nursing students. Outcome measures were the Nursing Competencies Questionnaire and the Self-efficacy in Clinical Performance Scale. Content analysis of workbooks and a survey (n=5) of opinions regarding the workbook was undertaken.

Findings: Pre and post test results for the study (n=5) were tested to determine if there was a relationship between changes in the NCQ and SECP repeated measures and use of an OPAEW. Testing identified evidence of a statistically significant difference for both SECP measures (SECP28 p=0.043; SECP7 p=0.042), with no clear statistical evidence of a difference for the NCQ (p=0.08). A weak negative association (NCQ ρ=-0.600 p=0.285; SECP28 ρ=-0.300 p=0.624; SECP7 ρ=-0.205 p=0.741), was found indicating that those participants who scored the lowest scores at the start of the study, benefited most from the workbook.

Content analysis of the OPAEW (n=5) found that 3 of the 5 participants completed all components of the workbook, with a mean of 1051 words used (SD 281.8). Through the survey (n=5) students reported the workbook as a useful guide when undertaking a patient assessment.

Conclusions: The OPAEW showed potential as an intervention to support the development of nursing students’ competence in older person assessment skills.

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Background: A core component of nurse education is clinical practice in order to support the development of clinical skills and competence. Assessment and measurement of the clinical competence of nursing students is important to gauge their professional development and educational needs.

Aim: To evaluate the impact of an Older Persons’ Assessment Educational Workbook (OPAEW) and explore second year nursing students’ competence and their opinions and use of the workbook.

Methods: A ‘before and after’ pre-experimental design was undertaken with n=6 second year nursing students. Outcome measures were the Nursing Competencies Questionnaire and the Self-efficacy in Clinical Performance Scale. Content analysis of workbooks and a survey (n=5) of opinions regarding the workbook was undertaken.

Findings: Pre and post test results for the study (n=5) were tested to determine if there was a relationship between changes in the NCQ and SECP repeated measures and use of an OPAEW. Testing identified evidence of a statistically significant difference for both SECP measures (SECP28 p=0.043; SECP7 p=0.042), with no clear statistical evidence of a difference for the NCQ (p=0.08). A weak negative association (NCQ ρ=-0.600 p=0.285; SECP28 ρ=-0.300 p=0.624; SECP7 ρ=-0.205 p=0.741), was found indicating that those participants who scored the lowest scores at the start of the study, benefited most from the workbook.

Content analysis of the OPAEW (n=5) found that 3 of the 5 participants completed all components of the workbook, with a mean of 1051 words used (SD 281.8). Through the survey (n=5) students reported the workbook as a useful guide when undertaking a patient assessment.

Conclusions: The OPAEW showed potential as an intervention to support the development of nursing students’ competence in older person assessment skills.

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App collusion refers to two or more apps working together to achieve a malicious goal that they otherwise would not be able to achieve individually. The permissions based security model (PBSM) for Android does not address this threat, as it is rather limited to mitigating risks due to individual apps. This paper presents a technique for assessing the threat of collusion for apps, which is a first step towards quantifying collusion risk, and allows us to narrow down to candidate apps for collusion, which is critical given the high volume of Android apps available. We present our empirical analysis using a classified corpus of over 29000 Android apps provided by Intel Security.

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There has been an increasing interest in the development of new methods using Pareto optimality to deal with multi-objective criteria (for example, accuracy and time complexity). Once one has developed an approach to a problem of interest, the problem is then how to compare it with the state of art. In machine learning, algorithms are typically evaluated by comparing their performance on different data sets by means of statistical tests. Standard tests used for this purpose are able to consider jointly neither performance measures nor multiple competitors at once. The aim of this paper is to resolve these issues by developing statistical procedures that are able to account for multiple competing measures at the same time and to compare multiple algorithms altogether. In particular, we develop two tests: a frequentist procedure based on the generalized likelihood-ratio test and a Bayesian procedure based on a multinomial-Dirichlet conjugate model. We further extend them by discovering conditional independences among measures to reduce the number of parameters of such models, as usually the number of studied cases is very reduced in such comparisons. Data from a comparison among general purpose classifiers is used to show a practical application of our tests.