165 research outputs found
A EMOTION-FOCUSSED TREATMENT FOR DECREASING CONJUGAL STRESS- A RANDOMIZED REPRESENTATIVE SINGLE-SITE CONTROLLED STUDY
No full textObjective:
Marital life is closely related to physical, social, and mental well-being. The aim of this study was to determine the reduction in chronic marital life stress among exposed subjects through the emotion re-focus approach.
Methods:
The individuals meeting our inclusion criteria were screened with the help of Stockholm Marital Stress Scale. The cognitive assessment was also made with the help of an Abbreviated Mental Test. The subjects were assigned a random number in a double-blind and independent manner, and half of them were provided eight therapeutic sessions lasting 90 minutes for eight weeks. The remaining ones were provided identical service after the entire data collection. All analyses were carried-out in 99.0% confidence interval, 0.01% type-I error and 1.0% type-II error.
Results:
A total of 138 subjects with marital life stress were allocated to both testing and control group. Both groups did not differ in social, statistical, and clinical variables. The between-group mean stress score did not differ statistically at baseline (p=0.1), but did differ at the culmination (p<0.001). For control group, the mean stress score changed from 2.8, 99%CI 2.7-2.9 to 2.7, 99%CI 2.6-2.8, p=0.1 between pre-post assessment. For testing group, the mean stress score changed from 2.9, 99%CI 2.8-3.0 to 2.4, 99%CI 2.3-2.5, p<0.001 (diff=17.2%, ES=1.40, R2=0.32) between pre-post assessment. The within-group improvement in stress score among subjects from their own baseline was 0-3.8% among control group and 1.9-30.6% in testing group. The sample power was 99.1%.
Conclusions:
Within our strengths and limitations, we may conclude that emotion re-focus may help to overcome chronic conjugal life distress with 0.1% false positive error.
Full text fully formatted PDF text version and Speech Abstract©:
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Submit manuscript: [email protected]
EICs: Prof. Charalee GRAYDON, JD; Prof. Devender BHALLA, HD
Dataset of the study "Exploring the Notion of Risk in Reviewer Recommendation"
No full textThis repository contains the necessary data for replicating the necessary information to replicate the study of "Exploring the Notion of Risk in Reviewer Recommendation." This code extends the RelationalGit package (https://github.com/CESEL/RelationalGit) from the study of E. Mirsaeedi and P. C. Rigby [1] and adds some functionality that is needed to incorporate the concept of the fix-inducing likelihood of a project.
In addition to our dataset, this repository also have the supporting materials for our study. The supporting materials are in the "ICSME_online_materials_ICSME.pdf" and contains the following items:
Table 1 contains the detail of the dataset and some related statistics for each of the studied projects.
Table 2 have risk measures that were used in our defect prediction model. We use Commit Guru Tool to extracts the data from the GitHub repositories and then use this data to train our defect prediction model.
Figure 1 illustrates the distribution of predicted defect probability of different projects. This distribution shows how defect probability of different periods are similar to the adjacent periods.
References:
[1] E. Mirsaeedi and P. C. Rigby, ‘Mitigating turnover with code review recommendation: Balancing expertise, workload, and knowledge distribution’, στο Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering, 2020
Reliability Estimation under Scarcity of Data: A Comparison of Three Approaches
No full textDuring the last decades, the optimization of the maintenance plan in process plants has lured the attention of many researchers due to its vital role in assuring the safety of operations. Within the process of scheduling maintenance activities, one of the most significant challenges is estimating the reliability of the involved systems, especially in case of data scarcity. Overestimating the average time between two consecutive failures of an individual component could compromise safety, while an underestimate leads to an increase of operational costs. Thus, a reliable tool able to determine the parameters of failure modelling with high accuracy when few data are available would be welcome. For this purpose, this paper aims at comparing the implementation of three practical estimation frameworks in case of sparse data to point out the most efficient approach. Hierarchical Bayesian modelling (HBM), maximum likelihood estimation (MLE), and least square estimation (LSE) are applied on data generated by a simulated stochastic process of a natural gas regulating and metering station (NGRMS), which was adopted as a case of study. The results identify the Bayesian methodology as the most accurate for predicting the failure rate of the considered devices, especially for the equipment characterized by less data available. The outcomes of this research will assist maintenance engineers and asset managers in choosing the optimal approach to conduct reliability analysis either when sufficient data or limited data are observed.Ship Design, Production and Operation
بررسی بیان و متیلاسیون پروموتور ژنMyoD1 در سرم و بلوک های بافتی بیماران مبتلا به سرطان پستان
No full textDesign and Optimization of Fully Digital SQUID Based on Bi-Directional RSFQ
No full textBi-directional RSFQ benefits from using both positive and negative SFQ pulses to manipulate and transfer digital data. This allows more flexibility in the design of simpler circuits with enhanced performance. On the other hand, using the AC bias current, one can replace on-chip resistive current distributors with inductors. This resembles RQL logic, but in contrast to RQL, it is possible to use the well-established standard RSFQ cells in bi-directional RSFQ. These two advantages (energy-efficient computation and flexibility in design) make bi-directional RSFQ a powerful tool in next-generation supercomputers and also compatible with ultra-low-temperature quantum computers. In this work, to show the power and simplicity of circuits in bi-directional RSFQ, a fully digital SQUID based on bi-directional RSFQ is designed and optimized. The circuit we show here is a delta modulating ADC with digital integrator. The circuit has fewer Josephson junctions than other reported circuits, which makes the proposed circuit more easily realizable in available LTc and HTc technologies
بررسی بیان و متیلاسیون پروموتور ژنMyoD1 در سرم و بلوک های بافتی بیماران مبتلا به سرطان پستان
No full text‘Environmental Impact Assessment’ in Drylands: Late Knowledge Penetration or a Deliberate Ignorance for Megaprojects?
No full textDespite the paramount role of drylands in supporting people’s livelihoods and rendering ecosystem services, legislation on Environmental Impact Assessment has been introduced belatedly after several decades. By exemplifying Iran, the author proposes two main reasons for such a delayed action. First, drylands are misleadingly considered as barren lands where biodiversity is relatively low. In one classification, deserts are even categorized along with rocks. Second, the author emphasizes that drylands have been subjected to unprecedented changes due to the expansion of infrastructure and urbanization that started in the 1970s. These growing pressures have been beyond the ecological resilience of drylands and have not been monitored, assessed, and modified correctly. Further scrutiny regarding EIA undertakings in drylands and the way they can be improved is now needed
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