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Wireless power transfer (WPT) systems or simultaneous wireless information and power transfer (SWIPT) systems support multiple charging frequency standards and usually transmit two or more frequencies simultaneously. Multi-frequency sinusoidal pulse width modulation (MF-SPWM) technology can output multiple sine wave frequencies at the same time with only one inverter, which effectively reduces the system size and improves compatibility. However, MF-SPWM and dead-time make the MF-inverter highly nonlinearized, with significant effects on the desired frequencies and the total harmonic distortion (THD) of the multi-frequency output. In this paper, a double Fourier series-based method of harmonic analysis for the dual-frequency inverter (DF-inverter) is proposed, which can accurately calculate the magnitude of each of the harmonics in the output of the DF-inverter taking into account the influence of dead-time. The calculation methods of the minimum pulse width and voltage THD of the DF-inverter are provided. An analysis shows that when the dead-time is less than the minimum pulse width, its influence is negligible. Meanwhile, when the dead-time is slightly larger than the minimum pulse width, there is a trade-off between the desired frequency component and the THD. Experimental results are given and they are consistent with the analytical results of the proposed method, and the error is within 2%. [ABSTRACT FROM AUTHOR]

Behavioral studies revealed that people were less likely to endorse negative information as self-descriptive. Neuroimaging studies have tapped on the neural mechanism underlying intentional self-processing of negative information using self-reflection tasks. Given that human self-processing occurring in our daily life is more likely to be captured by tasks involving incidental self-processing (automatic associations between the self- and external stimuli), rather than tasks involving intentional self-processing, it could be presumed that the relationship between self- and negative emotion might be better reflected during incidental self-processing. The present functional magnetic resonance imaging study aimed to explore incidental self-processing of negative information. To induce participants' incidental self-processing, we adopted negative and neutral words written by themselves or others as materials. They were scanned during judging whether the handwritten words were negative or neutral (additional non-self-task). Results revealed that incidental self-processing of negative information relied on the activation of left anterior insula, whereas medial prefrontal cortex activity was associated with incidental self-processing of neutral information. [ABSTRACT FROM AUTHOR]

In our previous study, we screened autism spectrum disorder (ASD) patients with and without sleep disorders for mutations in the coding regions of circadian-relevant genes, and detected mutations in several clock genes including NR1D1. Here, we further screened ASD patients for NR1D1 mutations and identified three novel mutations including a de novo heterozygous one c.1499 G > A (p.R500H). We then analyzed the role of Nr1d1 in the development of the cerebral cortex in mice. Acute knockdown of mouse Nr1d1 with in utero electroporation caused abnormal positioning of cortical neurons during corticogenesis. This aberrant phenotype was rescued by wild type Nr1d1, but not by the c.1499 G > A mutant. Time-lapse imaging revealed characteristic abnormal migration phenotypes in Nr1d1-deficient cortical neurons. When Nr1d1 was knocked down, axon extension and dendritic arbor formation of cortical neurons were also suppressed while proliferation of neuronal progenitors and stem cells at the ventricular zone was not affected. Taken together, Nr1d1 was found to play a pivotal role in corticogenesis via regulation of excitatory neuron migration and synaptic network formation. These results suggest that functional defects in NR1D1 may be related to ASD etiology and pathophysiology. [ABSTRACT FROM AUTHOR]