MAXIMUM POWER POINT TRACKING FOR BRUSHLESS DC MOTOR-DRIVEN PHOTOVOLTAIC PUMPING SYSTEMS USING A HYBRID ANFIS-FLOWER POLLINATION OPTIMIZATION ALGORITHM

Maximum Power Point Tracking for Brushless DC Motor-Driven Photovoltaic Pumping Systems Using a Hybrid ANFIS-FLOWER Pollination Optimization Algorithm

In Glasses Eyewear this research paper, a hybrid Artificial Neural Network (ANN)-Fuzzy Logic Control (FLC) tuned Flower Pollination Algorithm (FPA) as a Maximum Power Point Tracker (MPPT) is employed to amend root mean square error (RMSE) of photovoltaic (PV) modeling.Moreover, Gaussian membership functions have been considered for fuzzy controller

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Screening potential biomarkers associated with insulin resistance in high-fat diet-fed mice by integrating metagenomics and untargeted metabolomics

ABSTRACTInsulin resistance is the primary pathophysiological basis for metabolic syndrome and type 2 diabetes.Gut microbiota and microbiota-derived metabolites are pivotal in insulin resistance.However, identifying the specific microbes and key metabolites with causal roles is a challenging task, and the underlying mechanisms require further explor

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Contrasting effects of male immigration and rainfall on rank-related patterns of miscarriage in female olive baboons

Abstract In mammalian species with prolonged maternal investment in which high-ranking males gain disproportionate numbers of mating opportunities, males that quickly ascend the hierarchy may benefit from eliminating the dependent offspring of their competitors.In savanna baboons, high-ranking females are the most profitable targets of infanticide

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