Browse Articles
Discover research articles across all indexed journals
#ScientistAtWork 2025: Nature is seeking stunning photographic images that capture researchers’ working lives
Daily briefing: Thousands protest Trump cuts at #StandUpForScience rallies
An industrial carbon block instance segmentation algorithm based on improved YOLOv8
Enhanced long-term corrosion resistance and self-healing of epoxy coating with HQ-Zn-PA nanocomposite
Experimental analysis of solar still equipped with porous rubber sheet as energy storage material
Hospesneotomae n. gen. of the Triatomini tribe presents a turnaround in the taxonomy of the Triatoma protracta species complex
Cordycepin combined with antioxidant effects improves fatigue caused by excessive exercise
The marine xanthophyll diatoxanthin as ferroptosis inducer in MDAMB231 breast cancer cells
Electric Eel foraging optimization based control design of islanded microgrid
Abstract Designing control systems for islanded microgrids poses significant challenges due to the absence of inertia and parameter uncertainties. These factors increase the complexity of traditional methods when applied to highly nonlinear and interdependent systems. To address this issue, a novel Electric Eel Foraging Optimization (EEFO) technique is proposed for tuning control parameters within a hierarchical structure of primary and secondary control levels. The control system employs proportional resonant (PR) controllers for voltage and current regulation, alongside a synchronization loop to enable seamless grid reconnection. Comparative analysis with Particle Swarm Optimization (PSO) and Grey Wolf Optimization (GWO) confirms EEFO’s superior convergence speed and solution quality performance. Simulation results using MATLAB/SIMULINK demonstrate effective active power sharing, minimal overshoot and settling times for voltage (2.4%, 0.25 s) and frequency (0.42%, 0.53 s), and seamless grid reconnection. Experimental validation using hardware-in-the-loop (HIL) real-time emulation further verifies the feasibility and robustness of the proposed approach for practical microgrid applications.
Joinpoint regression and age period cohort analysis of global and Chinese HIV incidence trends from 1990 to 2021
The protective role of self compassion in trauma recovery and its moderating impact on post traumatic symptoms and post traumatic growth
Abstract This study examined the moderating effect of self-compassion on the relationship between post-traumatic symptoms (PTS) and post-traumatic growth (PTG) among adults with trauma exposure. A sample of 413 participants (254 women, 155 men) aged 18 to 81 years (M = 33.8; SD = 12.9) completed questionnaires assessing trauma exposure, PTS, PTG, and self-compassion. The results indicated that women reported significantly higher PTS and lower self-compassion than men, while no significant gender differences were found for PTG. Correlational analyses revealed a significant positive association between PTS and PTG, and a significant negative association between PTS and self-compassion. Moderation analysis demonstrated that self-compassion significantly moderated the relationship between PTS and PTG, with higher levels of self-compassion linked to greater PTG, even at elevated levels of PTS. These findings underscore the importance of self-compassion as a protective factor in trauma recovery, promoting positive psychological transformation despite the presence of distress.