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Placebo responses are substantial in many clinical trials of treatments for female sexual dysfunctions (FSDs).
In this paper, we propose a low-complexity LR algorithm with ET that can be employed to high-performance LR-aided FSDs.
In the present cohort, female sexual dysfunction was defined as a CSFQ-14 score ≤41 (impaired sexual function) and FSDS score ≥15 (distress).
The Female Sexual Function Index (FSFI) and Female Sexual Distress Scale (FSDS) were used to describe sexual function among the Danish women in the background population.
Functional decomposition and system partitioning, from context diagram, through multi-level DFDs, down into structure charts and FSDs, can deliver well structured real-time programs.
After a systems context diagram has been drawn up, FSDs only require system states, transitions and events to be identified by the designer.
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Third, there is significant across-time reduction in FSD (as measured by the FSFI and the FSDS) not only in the HCARE treatment group but also in the placebo group.
They were categorised as having female sexual dysfunction (FSD) when FSFI score was ≤26.55 (impaired sexual function) and FSDS score ≥15 (Giraldi et al. 2015).
FSDS = Female Sexual Distress Scale (score ≥15 = sexual distress).
FSDS has been validated in studies, including a pilot study with 60 healthy women and 18 women with different kinds of sexual dysfunction.
We will use the FSDS-R to assess sexual distress in women.
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