Deep learning approaches for fault detection and classifications in the electrical secondary distribution network: Methods comparison and recurrent neural network accuracy comparison

The electrical power system comprises of several complex interrelated and dynamic elements, that are usually susceptible to electrical faults.Due to their critical impacts, faults on the electrical power system in the secondary distribution network should be immediately detected, classified, and urgently cleared.Several studies have endeavored to d

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Photodynamic Therapy as an Oxidative Anti-Tumor Modality: Negative Effects of Nitric Oxide on Treatment Efficacy

Anti-tumor photodynamic therapy (PDT) is a unique oxidative stress-based modality that has proven highly effective on a variety of solid malignancies.PDT is minimally invasive and generates cytotoxic oxidants such as singlet molecular oxygen (1O2).With high tumor site-specificity and limited off-target negative effects, PDT is increasingly seen as

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The Affect Misattribution in the Interpretation of Ambiguous Stimuli in Terms of Warmth vs. Competence: Behavioral Phenomenon and Its Neural Correlates

Warmth and competence are fundamental dimensions of social cognition.This also applies to the interpretation of ambiguous symbolic stimuli in terms of their relation to warmth or competence.The affective state of an individual may affect the way people interpret the neutral stimuli in Sea Food the environment.As previous findings have shown, it is

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