Publications by authors named "Yanfeng Du"

Article Synopsis
  • A top-down neuronal circuit from the orbitofrontal cortex (OFC) to the dorsomedial striatum (DMS) is crucial for cognitive flexibility, but its role in substance seeking behaviors remains unclear.
  • Electrophysiology and in vivo optogenetics were used in mice to study the effects of OFC projections on DMS neural circuits during alcohol-seeking tasks, revealing impairments in cognitive flexibility due to chronic alcohol consumption.
  • Altering the OFC-DMS circuit can restore cognitive flexibility, with cholinergic interneurons (CINs) playing a key role, indicating that targeting this pathway might be a new approach for treating alcohol-seeking behaviors.
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Photon-counting computed tomography (PCCT) may dramatically benefit clinical practice due to its versatility such as dose reduction and material characterization. However, the limited number of photons detected in each individual energy bin can induce severe noise contamination in the reconstructed image. Fortunately, the notable low-rank prior inherent in the PCCT image can guide the reconstruction to a denoised outcome.

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Recently, the use of photon counting detectors in computed tomography (PCCT) has attracted extensive attention. It is highly desired to improve the quality of material basis image and the quantitative accuracy of elemental composition, particularly when PCCT data is acquired at lower radiation dose levels. In this work, we develop a physics-constrained and noise-controlled diffusion model, PRECISION in short, to address the degraded quality of material basis images and inaccurate quantification of elemental composition mainly caused by imperfect noise model and/or hand-crafted regularization of material basis images, such as local smoothness and/or sparsity, leveraged in the existing direct material basis image reconstruction approaches.

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Triboelectric nanogenerators (TENGs) have emerged as promising devices for generating self-powered therapeutic electrical stimulation over multiple aspects of wound healing. However, the challenge of achieving full 100% contact in conventional TENGs presents a substantial hurdle in the quest for higher current output, which is crucial for further improving healing efficacy. Here, a novel multifunctional wound healing system is presented by integrating the aqueous-aqueous triboelectric nanogenerators (A-A TENGs) with a functionalized conductive hydrogel, aimed at advancing infected wound therapy.

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Discovery of the amazing and vital therapeutic roles of electrical stimulation (ES) on skin has sparked tremendous efforts to investigate ES suppliers. Among them, triboelectric nanogenerators (TENGs), as a self-sustainable bioelectronic system, can generate self-powered and biocompatible ES for achieving superior therapeutic effects on skin applications. Here, a brief review of the application of TENGs-based ES on skin is presented, with specific discussions of the fundamentals of TENGs-based ES and its feasibility to be applied for adjusting physiological and pathological processes of skin.

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Background: Alcohol use disorders result from repeated binge and chronic alcohol consumption followed by negative effects, such as anxiety, upon cessation. This process is associated with the activation of NLRP3 inflammasome-mediated responses. However, whether and how inhibition of the NLRP3 inflammasome alters alcohol intake and anxiety behavior remains unclear.

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Myeloid cell leukemia 1 (Mcl1), an abundant protein in the myocardium, plays an essential role in fibrosis and anti-inflammation in cardiomyocytes to prevent heart failure. However, whether 3'-untranslated regions (3'-UTR) has the cardio-protecting function remains unclear. Down-regulation of Mcl1 was observed in adult mice heart tissues after Angiotensin II (Ang II) treatment.

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Many deep learning (DL)-based image restoration methods for low-dose CT (LDCT) problems directly employ the end-to-end networks on low-dose training data without considering dose differences. However, the radiation dose difference has a great impact on the ultimate results, and lower doses increase the difficulty of restoration. Moreover, there is increasing demand to design and estimate acceptable scanning doses for patients in clinical practice, necessitating dose-aware networks embedded with adaptive dose estimation.

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