Condition Monitoring of Gearbox based on Statistical Linguistic Analysis of Time Series

The vibration data from defective gearboxes generally exhibit non- stationary and nonlinear property. As a result,it seems hard to effectively monitor the running status of gearbox by using the conventional time domain statistical parameters method which is based on stationary and linear theory. In order to solve this problem,the method of time series statistical linguistic analysis is adopted to examine gearbox vibration data and a novel method for gearbox condition monitoring based on time series statistical linguistic analysis is proposed. Firstly,an original series is mapped into a word- occurrence- frequency series,afterwards,a correlation coefficient of two word- occurrence- frequency series for the initial condition and another condition is used as a characteristic parameter for detecting a change of gearbox conditions. Finally,the proposed method is applied to condition monitoring of a realistic gearbox. The results indicated that the proposed method can both effectively detect changes of gearbox conditions and unravel a natural evolutionary process of gearbox conditions.In addition,the proposed method has a clear advantage over the conventional time domain statistical parameters method in condition monitoring of gearbox

Monitoring Memory Behaviors and Mitigating NUMA Drawbacks on Tiered NVM Systems

Part 7: EmeringInternational audienceNon-Volatile Memory with byte-addressability invites a new paradigm to access persistent data directly. However, this paradigm brings new challenges to the Non-Uniform Memory Access (NUMA) architecture. Since data accesses cross NUMA node can incur significant performance loss, and, traditionally, OS moves data to the NUMA node where the process accessing it locates to reduce the access latency. However, we find challenges when migrating data on NVM, which motivates us to migrate the process instead. We propose SysMon-N, an OS-level sampling module, to obtain access information about NVM in low overhead. Furthermore, we propose N-Policy to utilize the data collected by SysMon-N to guide process migration. We evaluate SysMon-N and N-Policy on off-the-shelf NVM devices. The experimental results show that they provide 5.9% to $$3.62\times$$3.62× bandwidth improvement in the case where cross-node memory accesses happen

Knowledge, attitude and practice of registered nurses toward ICU patients’ transfer anxiety in China: A cross-sectional study

Introduction: Transfer anxiety has effect many critically ill patients in ICU around the world. Nurses must take care of the psychological adjustments that patients and families face when ICU patients transferred to general ward. During this period, basic knowledge, positive attitude, and correct practice are necessary for nurses to address the issue of transfer anxiety and seek to reduce it whenever possible. However, there were few investigations have been performed the knowledge, attitudes, and practice of registered nurses toward ICU patients’ transfer anxiety. Aim: The purpose of the paper is to explore the level and influencing factors of knowledge, attitude and practice of registered nurses toward ICU patients’ transfer anxiety in China. Methods: From February 1 to March 17, 2023, a cross-sectional study was adopted in China. An electronic questionnaire was used to collect data. Registered nurses' knowledge, attitudes and practice toward ICU patients' transfer anxiety were assessed using The Knowledge, Attitude and Practice Questionnaire for Chinese Registered nurses in ICU regarding the prevention of transfer anxiety. In the end, in this study involved 381 registered nurses from Lanzhou University Second Hospitals in China. SPSS 26.0 for mac, independent T-test, one-way ANOVA test, Scheffe's test, Pearson correlation coefficient and multiple linear regression tests were used for data analysis. Results: The scores of total KAP, knowledge, attitude, and practice are 135.21 ± 24.504, 45.58 ± 13.903, 56.94 ± 10.690 and 32.87 ± 6.393 separately. Study results show that there was a statistically significant correlation among the three variables. According to the results of independent t-test or one-way ANOVA test, there is a correlation between gender(P = 0.001), highest educational attainment (P = 0.005) and knowledge; type of department(P = 0.003) and attitude; gender (P = 0.003), marital status (P = 0.002), clinical work experience (P = 0.002), type of department (P = 0.005) and practice. According to the results of linear regression analysis in this study, the variables of gender (P = 0.006), highest educational attainment (P = 0.032), scores of attitudes (P = 0.006), and scores of practice (P = 0.000) were associated with the scores of knowledge; the variables of scores of knowledge (P = 0.004), and scores of practice (P = 0.000) were associated with the scores of attitudes; the variables of scores of knowledge (P = 0.000), and scores of attitudes (P = 0.000) were associated with the scores of practice. Conclusion: The findings of the study emphasize that comprehensive measures of knowledge, attitude and practice should be taken to improve nurses' knowledge, attitudes, and practices regarding transfer anxiety in intensive care unit patients in order to reduce its adverse effects on ICU patients

Prevalence and associated factors of alexithymia in intensive care unit nurses

Abstract Aims The aim of this study was to investigate the incidence of alexithymia in intensive care unit nurses and determine the associated factors. Design A multi‐center, cross‐sectional study. Methods In total, 485 nurses in intensive care unit were recruited from 53 hospitals in China. Data collection tools used in the study included demographic characteristics, the Social Support Rating Scale (SSRS), Emotional Intelligence Scale (EIS), and the 20‐item Toronto Alexithymia Scale (TAS‐20). SPSS 25.0 software (Corp., Armonk, NY, USA) was used to preform data analysis. Results About 43.7% of intensive care unit nurses were classified as alexithymia in the whole sample (males: 50%, females: 43%). The median TAS‐20 score was 60 (interquartile range = 9). The study found that alexithymia was significantly associated with marital status, whether living alone, working years, and social support (Adjusted R Squared = 0.194, F = 6.466, p < 0.01), while emotional intelligence was not statistically significant with alexithymia. Conclusions Alexithymia is a psychological problem with high incidence in intensive care unit nurses. In this study, being unmarried or divorced, living alone, and having fewer years of work (≤5 years) were associated with a higher risk of alexithymia. Interventions that strengthen social support may also help improve the mental health of ICU nurses