Inertial Navigation System (INS) is one of the navigation systems widely used in various land-BASED, aerial, and marine applications. Among all types of INS, Microelectromechanical System (MEMS)-BASED INS can be widely utilized, owing to their low cost, lightweight, and small size. However, due to the manufacturing technology, MEMS-BASED INS suffers from deterministic and stochastic errors, which increase positioning errors over time. In this paper, a new effective noise REDUCTION method is proposed that can provide more accurate outputs of MEMS-BASED inertial sensors. The intelligent method in this paper is a combined denoising method that combines Wavelet Transform (WT), Permutation Entropy (PE), Support Vector Regression (SVR), and Genetic Algorithm (GA). Firstly, WT is employed to obtain a time-frequency representation of raw data. Secondly, a four-element feature vector is formed. These four features are (1) amplitude of frequency, (2) its ratio to mean of amplitudes of all frequencies, (3) location of frequency in time-frequency representation, and (4) judgment on behaviors of frequency that is obtained by utilizing PE. Thirdly, BASED on the feature vector, the GA-SVR algorithm predicts amplitudes of all frequencies in the time-frequency representation of the denoised signal. Finally, by employing inverse WT the denoised signal is obtained. In this work, the outputs of the Inertial Measurement Unit (IMU) in ADIS16407 sensor, as a low-cost and MEMS-BASED INS, have been utilized for data collection. The proposed method has been compared with other noise REDUCTION methods and the achieved results verify superior improvement than other methods.

Introduction: Nurses face many STRESSors in their job and profession. In addition to threatening various aspects of health can also affect their ability and cause an analysis of the quality of their performance. The purpose of this study was to evaluate the role of MINDFULNESS-BASED STRESS-relieving training in reducing nurses' job STRESS Methods: This quasi-experimental study is a pre-test-post-test with a control group that was performed in 2018 on 270 nurses from different wards of Panj Azar Medical Training Center in Gorgan. Of these, 40 of them regarding inclusion criteria were randomly divided into control and experimental groups. Data collection tools were demographic information questionnaire and nurses' job STRESS questionnaire. The intervention was consisted of 8 sessions for MINDFULNESS-BASED STRESS REDUCTION holding once a week. Data was analyzed using SPSS software using both descriptive statistics (mean and standard deviation) and inferential statistics (Pearson correlation coefficient, Covariance and multivariate regression) at a significant level of p <0. 05 Results: The results of this study showed that the mean scores of job STRESS before the intervention was not significantly different between the control and experimental groups (p <0. 05), but after the intervention the difference was significant (p <0. 05). Furthermore, about 55% of the changes in post-test scores of job STRESS was related to the effect of MINDFULNESS-BASED STRESS relief. This finding indicates that the implementation of MINDFULNESS-BASED STRESS training program has been effective in reducing nurses' job STRESS. Conclusions: Given that nurses are exposed to high STRESS, the use of low-cost and short term therapy is necessary. The findings of this study showed that MINDFULNESS-BASED STRESS training can be useful to reduce nurses' job STRESS.

Objective: The present study was designed to investigate the effectiveness of mindfulness in the prevention of relapse in drug abusers.Method: Using a quasi experimental design, 90 male drug abusers who had undergone detoxification were selected from among all detoxified individuals referred to drug rehabilitation centers in the City of Tehran. Patients were placed randomly in three groups: Mindfulness training intervention, behavioral drug REDUCTION counseling and a control group in which no intervention was applied. Diagnosis of drug abuse was made using structured clinical interview for diagnosing axis I disorders on DSMIV (SCID-I) as well as tests to measure morphine levels in the blood. Fisher test was used to compare groups. Patients were assessed two weeks and two months after the intervention as follow up measure.Findings: Results show that both intervention groups were effective in preventing relapse as compared to the control group. Furthermore, the effectiveness of mindfulness training and BDRC was about the same. There were no significant differences between patients with and without experience of drug abuse and married and single patients.Conclusion: Both mindfulness training and BDRC may be considered effective practical methods in reducing the risk of relapse in male drug abusers.