Análise de escalabilidade de uma implementação paralela do simulated annealing acoplado

This paper analyzes the performance of a parallel implementation of Coupled Simulated Annealing (CSA) for the unconstrained optimization of continuous variables problems. Parallel processing is an efficient form of information processing with emphasis on exploration of simultaneous events in the execution of software. It arises primarily due to high computational performance demands, and the difficulty in increasing the speed of a single processing core. Despite multicore processors being easily found nowadays, several algorithms are not yet suitable for running on parallel architectures. The algorithm is characterized by a group of Simulated Annealing (SA) optimizers working together on refining the solution. Each SA optimizer runs on a single thread executed by different processors. In the analysis of parallel performance and scalability, these metrics were investigated: the execution time; the speedup of the algorithm with respect to increasing the number of processors; and the efficient use of processing elements with respect to the increasing size of the treated problem. Furthermore, the quality of the final solution was verified. For the study, this paper proposes a parallel version of CSA and its equivalent serial version. Both algorithms were analysed on 14 benchmark functions. For each of these functions, the CSA is evaluated using 2-24 optimizers. The results obtained are shown and discussed observing the analysis of the metrics. The conclusions of the paper characterize the CSA as a good parallel algorithm, both in the quality of the solutions and the parallel scalability and parallel efficiency

Avaliação do sono e enfermeiros nos diferentes turnos hospitalares

This study aimed to analyze the pattern characteristics of sleep and sleep quality of nurses who worked day and night shifts. This is a study with a quantitative approach, cross-sectional, descriptive. The study was conducted at the University Hospital of Rio Grande do Norte. Data were collected in full in the period from January to September 2015, through the instruments: Pittsburgh Sleep Quality Index and Sleep Diary. Subjects were interviewed according to their work shift, day or night, during the working hours of the nursing team. After being coded and tabulated, data were analyzed using SPSS version 20.0. The study was approved by the Research Ethics Committee of the Federal University of Rio Grande do Norte, in the Opinion No. 751 567. For a description of continuous variables were used position measurements (mean and median), dispersion (standard deviation) and correlation (Spearman correlation test), to a 0.05 significance level. The socio-demographic profile of the sample showed a total of n = 104 participants, distributed in: 64 on day shift and night shift 40; wherein 90.4% are female, aged between 24-45 years, corresponding to 73% of the sample. There was the presence of statistically significant differences for the variables: employment and living habits (inpatient and outpatient sector (p = 0.003), have more than one job (p = 0.002), use cordial (p = 0.021); Sleep pattern: nap time (p = 0.003), sleep latency (p = 0.013), total sleep time (p = 0.001), how it felt to wake up (p = 0.017), quality of nighttime sleep (p = 0.001) and sleep quality (p = 0.007) compared between the day shift and the night shift. It was concluded that shift work has changed the pattern and sleep quality of nurses working day and night shifts.

Avaliação do sono e enfermeiros nos diferentes turnos hospitalares

This study aimed to analyze the pattern characteristics of sleep and sleep quality of nurses who worked day and night shifts. This is a study with a quantitative approach, cross-sectional, descriptive. The study was conducted at the University Hospital of Rio Grande do Norte. Data were collected in full in the period from January to September 2015, through the instruments: Pittsburgh Sleep Quality Index and Sleep Diary. Subjects were interviewed according to their work shift, day or night, during the working hours of the nursing team. After being coded and tabulated, data were analyzed using SPSS version 20.0. The study was approved by the Research Ethics Committee of the Federal University of Rio Grande do Norte, in the Opinion No. 751 567. For a description of continuous variables were used position measurements (mean and median), dispersion (standard deviation) and correlation (Spearman correlation test), to a 0.05 significance level. The socio-demographic profile of the sample showed a total of n = 104 participants, distributed in: 64 on day shift and night shift 40; wherein 90.4% are female, aged between 24-45 years, corresponding to 73% of the sample. There was the presence of statistically significant differences for the variables: employment and living habits (inpatient and outpatient sector (p = 0.003), have more than one job (p = 0.002), use cordial (p = 0.021); Sleep pattern: nap time (p = 0.003), sleep latency (p = 0.013), total sleep time (p = 0.001), how it felt to wake up (p = 0.017), quality of nighttime sleep (p = 0.001) and sleep quality (p = 0.007) compared between the day shift and the night shift. It was concluded that shift work has changed the pattern and sleep quality of nurses working day and night shifts.