The Effectiveness of Psycho-Educational and Cognitive-Behavioral Counseling on Female Sexual Dysfunction

Introduction Sexual function is a multidimensional phenomenon that is affected by many biological and psychological factors. Cognitive-behavioral sex therapies are among the most common nonpharmacological approaches to psychosexual problems. The purpose of the present study was to investigate the effectiveness of psychoeducational and cognitive-behavioral counseling on female sexual dysfunction. Methods The present study was a clinical trial with intervention and control groups. The study population consisted of women referring to the general clinic of a governmental hospital in Iran. After completing the demographic questionnaire and Female Sexual Function Index (FSFI), those who obtained the cutoff score � 28 were contacted and invited to participate in the study. Convenience sampling method was used and 35 subjects were randomly allocated for each group. Eight counseling sessions were held for the intervention group (two/week/1.5 hour). Post-test was taken from both groups after 1 month, and the results were statistically analyzed by PASW Statistics for Windows, Version 18 (SPSS Inc., Chicago, IL, USA). Results The total mean scores of FSFI and the subscales of sexual desire, arousal, orgasm, and satisfaction were significantly higher in the intervention group than in the control group after the intervention. In addition, postintervention pain mean scores in the intervention group were significantly lower than in the control group (p < 0.05). Conclusion The results of the present study indicate that psychoeducational cognitive-behavioral counseling is effective in improving female sexual function. It is recommended to compare the effects of psychoeducational cognitive-behavioral counseling on sexual dysfunctions of couples and with a larger sample size in future research. © 2020 Georg Thieme Verlag. All rights reserved

Practical Demonstration and Novel Optimization Control for a Smart Soft Open Point to Maximize the Synergy between the DC Metro Line and the LV Distribution Grid

The steady increment in electrical loads often requires expensive and disruptive upgrading of the electrical power supply infrastructure. This can be avoided by synergizing the DC railway networks with local AC grids using soft-open points to transfer the available regenerative braking energy of the trains to the nearby local grid. Besides, a battery energy storage system is integrated into the soft-open point to match the braking events with the grid load power. So that the new developed system effectively decouples both the rail and grid networks. This paper presents a practical study for such novel rail+grid energy management strategy. A 100kW smart soft open point is designed and implemented in this research to experimentally evaluate the new strategy in a lab environment using real rail data. Afterwards, the developed 100 kW prototype is accordingly validated in the real environment at Metro Madrid, Spain. Lastly, a multi-objectives optimization framework is designed for the developed management system to maximize the synergy between both networks. the multi-objectives framework aims to minimize the power losses in both networks, maximizing the profit of selling the harvested rail power to the grid and finally maximize the penetration level of the available renewables power in the grid

Practical Demonstration and Novel Optimization Control for a Smart Soft Open Point to Maximize the Synergy between the DC Metro Line and the LV Distribution Grid

The steady increment in electrical loads often requires expensive and disruptive upgrading of the electrical power supply infrastructure. This can be avoided by synergizing the DC railway networks with local AC grids using soft-open points to transfer the available regenerative braking energy of the trains to the nearby local grid. Besides, a battery energy storage system is integrated into the soft-open point to match the braking events with the grid load power. So that the new developed system effectively decouples both the rail and grid networks. This paper presents a practical study for such novel rail+grid energy management strategy. A 100kW smart soft open point is designed and implemented in this research to experimentally evaluate the new strategy in a lab environment using real rail data. Afterwards, the developed 100 kW prototype is accordingly validated in the real environment at Metro Madrid, Spain. Lastly, a multi-objectives optimization framework is designed for the developed management system to maximize the synergy between both networks. the multi-objectives framework aims to minimize the power losses in both networks, maximizing the profit of selling the harvested rail power to the grid and finally maximize the penetration level of the available renewables power in the grid