Enhanced Whale optimization algorithms for parameter identification of solar photovoltaic cell models: a comparative study.

Parameter identification of solar photovoltaic (PV) cells is crucial for the PV system modeling. However, finding optimal parameters of PV models is an intractable problem due to the highly nonlinear characteristics between currents and voltages in different environments. To address this problem, whale optimization algorithm (WOA)-based meta-heuristic algorithm has turned out to be a feasible and effective approach. As a highly promising optimization algorithm, different enhanced WOA variants have been proposed. Nevertheless, there has been no comparative study of WOA and its variants for parameter identification of PV models so far. To further investigate and analyze the performance of WOA in the studied problem, this work applied and compared WOA and ten enhanced WOA variants for identifying five PV model parameters. Different evaluation indices including solution accuracy, search robustness, and convergence curve were employed to reveal their performance variation. Based on the simulation results, a multi-model statistical analysis with the Friedman test at a confidence level 0.05 was conducted to rank all algorithms. EWOA that hybridizes the sorting-based differential mutation operator and the Lévy flight strategy ranked first and its performance was further verified. Besides, according to the simulation results, possible effective improvement directions for WOA in tackling this intractable problem are concluded to guide future work.

Entrepreneurial education and its role in fostering sustainable communities.

Establishing sustainable communities requires bridging the gap between academic knowledge and societal requirements; this is where entrepreneurial education comes in. The first phase involved a comprehensive review of the literature and extensive consultation with experts to identify and shortlist the components of entrepreneurship education that support sustainable communities. The second phase involved Total Interpretative Structural Modelling to explore or ascertain how the elements interacted between sustainable communities and entrepreneurial education. The factors are ranked and categorized using the Matrice d'impacts croises multiplication appliquee an un classement (MICMAC) approach. The MICMAC analysis classifies partnerships and incubators as critical drivers, identifying Student Entrepreneurship Clubs and Sustainability Research Centers as dependent elements. The study emphasizes alumni networks and curriculum designs as key motivators. The results highlight the critical role that well-designed entrepreneurial education plays in developing socially conscious entrepreneurs, strengthening communities, and generating long-term job prospects. The study provides a valuable road map for stakeholders dedicated to long-term community development agendas by informing the creation of strategic initiatives, curriculum updates, and policies incorporating entrepreneurial education.

Efficacy and safety of acupuncture combined with analgesics on lung cancer pain: A protocol for systematic review and meta-analysis.

BACKGROUND: Lung cancer (LC) is the malignant tumor with the highest incidence in the world, and treatment methods include surgery, radiotherapy, chemotherapy, and immunotherapy. Cancer pain is a common symptom in patients with LC, and the clinical treatment is to relieve it with analgesics. Acupuncture can relieve cancer pain. This study aims to systematically study the efficacy and safety of acupuncture combined with analgesics on cancer pain in patients with LC. METHODS: From the beginning to April 2021, search Medline, Embase, Cochrane Central Controlled Trials Register (Central), China National Knowledge Infrastructure (CNKI), Wanfang Database, China Biomedical Literature Database (CBM), and Chinese Science Journal Database (VIP database). Search the international clinical trial registration platform and the Chinese clinical trial registration platform to find ongoing or unpublished trials. The main outcome indicator is the total effective rate of analgesia, and the secondary outcome indicator is pain intensity score and adverse reactions. The RevMan 5.4 software will be used for statistical analysis. RESULTS: This study will provide the latest evidence for acupuncture combined with analgesics to relieve LC pain. CONCLUSION: The conclusion of this study is to evaluate the effectiveness and safety of acupuncture combined with analgesics in alleviating LC pain. INPLASY REGISTRATION NUMBER: INPLASY202150051.