Publications by authors named "Limeng Song"

Article Synopsis
  • - A new method to enhance the electromagnetic wave (EMW) absorption of silicon carbide (SiC) involves adjusting the thickness of silicon oxide (SiO) nanolayers on SiC nanofibers (NFs) to solve impedance mismatch issues.
  • - The oxidation process of SiC, studied using high-angle annular dark field-scanning transmission electron microscopy (HAADF-STEM), reveals how a core-shell structure can trap EMWs effectively by creating an electronic barrier at the interface.
  • - The resulting SiC@SiO nanofibers demonstrate remarkable EMW absorption properties, with a minimum reflection loss of -53.09 dB and a broad effective absorption bandwidth of 8.85 GHz, indicating potential for
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Traditional ceramic materials are generally brittle and not flexible with high production costs, which seriously hinders their practical applications. Multifunctional nanofiber ceramic aerogels are highly desirable for applications in extreme environments, however, the integration of multiple functions in their preparation is extremely challenging. To tackle these challenges, we fabricated a multifunctional SiC@SiO nanofiber aerogel (SiC@SiO NFA) with a three-dimensional (3D) porous cross-linked structure through a simple chemical vapor deposition method and subsequent heat-treatment process.

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We aim to investigate the role of miR-106-mediated mitogen-activated protein kinase (MAPK) signaling pathway in oxidative stress (OS) injury and inflammatory infiltration in the liver of the mouse with gestational hypertension (GH). Ninety specific pathogen-free mice (Kunming species) during middle to late gestation were selected for the study. Fifteen mice were used as control, while the rest were used for establishing the GH model.

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This study used large-scale time-varying network analysis to reveal the diverse network patterns during the different decision stages and found that the responses of rejection and acceptance involved different network structures. When participants accept unfair offers, the brain recruits a more bottom-up mechanism with a much stronger information flow from the visual cortex (O2) to the frontal area, but when they reject unfair offers, it displayed a more top-down flow derived from the frontal cortex (Fz) to the parietal and occipital cortices. Furthermore, we performed 2 additional studies to validate the above network models: one was to identify the 2 responses based on the out-degree information of network hub nodes, which results in 70% accuracy, and the other utilized theta burst stimulation (TBS) of transcranial magnetic stimulation (TMS) to modulate the frontal area before the decision-making tasks.

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Mentally imagining rather physically executing the motor behaviors is defined as motor imagery (MI). During MI, the mu rhythmical oscillation of cortical neurons is the event-related desynchronization (ERD) subserving the physiological basis of MI-based brain-computer interface. In our work, we investigated the specific brain network reconfiguration from rest idle to MI task states, and also probed the underlying relationship between the brain network reconfiguration and MI related ERD.

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Cognitive deficits in schizophrenia are correlated with the dysfunctions of distinct brain regions including anterior cingulate cortex (ACC) and prefrontal cortex (PFC). Apart from the dysfunctions of the intrinsic connectivity of related areas, how the coupled neural populations work is also crucial in related processes. Twenty-four patients with schizophrenia (SZs) and 24 matched healthy controls (HCs) were recruited in our study.

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Motor imagery (MI) requires subjects to visualize the requested motor behaviors, which involves a large-scale network that spans multiple brain areas. The corresponding cortical activity reflected on the scalp is characterized by event-related desynchronization (ERD) and then by event-related synchronization (ERS). However, the network mechanisms that account for the dynamic information processing of MI during the ERD and ERS periods remain unknown.

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The neuronal synchronous discharging may cause an epileptic seizure. Currently, most of the studies conducted to investigate the mechanism of epilepsy are based on EEGs or functional magnetic resonance imaging (fMRI) recorded during the ictal discharging or the resting-state, and few studies have probed into the dynamic patterns during the inter-ictal discharging that are much easier to record in clinical applications. Here, we propose a time-varying network analysis based on adaptive directed transfer function to uncover the dynamic brain network patterns during the inter-ictal discharging.

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We conducted a case-control study to investigate the role of IL-10 -1082A/G (rs1800896), -819T/C (rs1800871), and -592A/C (rs1800872) polymorphisms in the development of early-onset preeclampsia. Polymerase chain reaction restriction fragment length polymorphism (PCR-RFLP) assay was applied to assess the polymorphisms of IL-10 -1082A/G (rs1800896), -819T/C (rs1800871), and -592A/C (rs1800872). The genotype distributions of IL-10 -1082A/G (rs1800896), -819T/C (rs1800871), and -592A/C (rs1800872) confirmed with HWE in the controls, and the P value for HWE was 0.

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