21 research outputs found

    Dynamic structural remodeling of the human visual system prompted by bilateral retinal gene therapy

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    The impact of changes in visual input on neuronal circuitry is complex and much of our knowledge on human brain plasticity of the visual systems comes from animal studies. Reinstating vision in a group of patients with low vision through retinal gene therapy creates a unique opportunity to dynamically study the underlying process responsible for brain plasticity. Historically, increases in the axonal myelination of the visual pathway has been the biomarker for brain plasticity. Here, we demonstrate that to reach the long-term effects of myelination increase, the human brain may undergo demyelination as part of a plasticity process. The maximum change in dendritic arborization of the primary visual cortex and the neurite density along the geniculostriate tracks occurred at three months (3MO) post intervention, in line with timing for the peak changes in postnatal synaptogenesis within the visual cortex reported in animal studies. The maximum change at 3MO for both the gray and white matter significantly correlated with patients' clinical responses to light stimulations called full field sensitivity threshold (FST). Our results shed a new light on the underlying process of brain plasticity by challenging the concept of increase myelination being the hallmark of brain plasticity and instead reinforcing the idea of signal speed optimization as a dynamic process for brain plasticity

    Super-Resolution Reconstruction of Particleboard Images Based on Improved SRGAN

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    As an important forest product, particleboard can greatly save forestry resources and promote low-carbon development by reusing wood processing residues. The size of the entire particleboard is large, and there are problems with less image feature information and blurred defect outlines when obtaining the particleboard images. The super-resolution reconstruction technology can improve the quality of the particleboard surface images, making the defects clearer. In this study, the super-resolution dense attention generative adversarial network (SRDAGAN) model was improved to solve the problem that the super-resolution generative adversarial network (SRGAN) reconstructed image would produce artifacts and its performance needed to be improved. The Batch Normalization (BN) layer was removed, the convolutional block attention module (CBAM) was optimized to construct the dense block, and the dense blocks were constructed via a densely skip connection. Then, the corresponding 52,400 image blocks with high resolution and low resolution were trained, verified, and tested according to the ratio of 3:1:1. The model was comprehensively evaluated from the effect of image reconstruction and the three indexes of PSNR, SSIM, and LPIPS. It was found that compared with BICUBIC, SRGAN, and SWINIR, the PSNR index of SRDAGAN increased by 4.88 dB, 3.25 dB, and 2.68 dB, respectively; SSIM increased by 0.0507, 0.1122, and 0.0648, respectively; and LPIPS improved by 0.1948, 0.1065, and 0.0639, respectively. The reconstructed images not only had a clearer texture, but also had a more realistic expression of various features, and the performance of the model had been greatly improved. At the same time, this study also emphatically discussed the image reconstruction effect with defects. The result showed that the SRDAGAN proposed in this study can complete the super-resolution reconstruction of the particleboard images with high quality. In the future, it can also be further combined with defect detection for the actual production to improve the quality of forestry products and increase economic benefits

    Effects of Ligand Modification and Protonation on Metal Oxime Hydrogen Evolution Electrocatalysts

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    The design of hydrogen-evolving electrocatalysts that operate at modest overpotentials is important for solar energy devices. The M<sup>II/I</sup> reduction potential for metal diimine-dioxime and diglyoxime electrocatalysts is often related to the overpotential required for hydrogen evolution. Herein the impact of ligand modification and protonation on the M<sup>II/I</sup> reduction potentials for cobalt, nickel, and iron diimine-dioxime and diglyoxime complexes is investigated with computational methods. The calculations are consistent with experimental data available for some of these complexes and additionally provide predictions for complexes that have not yet been synthesized. The calculated p<i>K</i><sub>a</sub>’s imply that ligand protonation is likely to occur at the O–H–O bridge but not at other ligand sites for these complexes. Moreover, the calculations imply that a ligand-protonated Co<sup>III</sup>-hydride intermediate is formed along the H<sub>2</sub> production pathway for catalysts containing an O–H–O bridge in the presence of sufficiently strong acid. The calculated M<sup>II/I</sup> reduction potentials indicate that the anodic shift due to protonation of the O–H–O bridge is greater than that due to replacing the O–H–O bridge with an O–BF<sub>2</sub>–O bridge for cobalt and nickel but not for iron complexes. Experiments suggest degradation for complexes with two O–H–O bridges and alternative mechanisms for certain iron complexes with two O–BF<sub>2</sub>–O bridges. Asymmetric cobalt, nickel, and strongly electron withdrawing substituted iron diimine-dioxime and diglyoxime complexes containing a single O–H–O bridge are proposed to be effective hydrogen evolution electrocatalysts with relatively low overpotentials in acetonitrile and water. These insights are important for the design of efficient aqueous-based hydrogen-evolving catalysts

    Dynamic structural remodeling of the human visual system prompted by bilateral retinal gene therapy

    No full text
    The impact of changes in visual input on neuronal circuitry is complex and much of our knowledge on human brain plasticity of the visual systems comes from animal studies. Reinstating vision in a group of patients with low vision through retinal gene therapy creates a unique opportunity to dynamically study the underlying process responsible for brain plasticity. Historically, increases in the axonal myelination of the visual pathway has been the biomarker for brain plasticity. Here, we demonstrate that to reach the long-term effects of myelination increase, the human brain may undergo demyelination as part of a plasticity process. The maximum change in dendritic arborization of the primary visual cortex and the neurite density along the geniculostriate tracks occurred at three months (3MO) post intervention, in line with timing for the peak changes in postnatal synaptogenesis within the visual cortex reported in animal studies. The maximum change at 3MO for both the gray and white matter significantly correlated with patients’ clinical responses to light stimulations called full field sensitivity threshold (FST). Our results shed a new light on the underlying process of brain plasticity by challenging the concept of increase myelination being the hallmark of brain plasticity and instead reinforcing the idea of signal speed optimization as a dynamic process for brain plasticity

    Age Associations with Dry Eye Clinical Signs and Symptoms in the Dry Eye Assessment and Management (DREAM) Study

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    Purpose: To evaluate how increasing age is associated with dry eye disease (DED) signs and symptoms in the Dry Eye Assessment and Management (DREAM) study. This study was undertaken to better understand how DED signs and symptoms differ across decades of life with goals to help assess detection and treatment of DED. Design: Secondary analysis of the DREAM study. Subjects: One hundred twenty, 140, 185, and 90 participants aged < 50, 50 to 59, 60 to 69, and ≥ 70 years, respectively. Methods: We performed a secondary analysis of data from the DREAM study, a multicenter randomized clinical trial, to evaluate the effect of omega-3 fatty acid supplementation for the treatment of DED. At baseline, 6 months, and 12 months follow-up, participants underwent an assessment of DED symptoms and signs using Ocular Surface Disease Index, Brief Pain Inventory, tear break-up time (TBUT) (in seconds), Schirmer test with anesthesia (mm/5 minutes), conjunctival staining, corneal staining, meibomian gland dysfunction evaluation, and tear osmolarity (mOsm/l). Multivariable generalized linear regression models were used to compare DED symptoms and signs across the 4 age groups among all participants and by sex. Main Outcome Measures: Scores of DED symptoms, individual signs, and composite scores of DED signs. Results: Among 535 patients with DED, increasing age was significantly associated with worse TBUT (P = 0.01), corneal staining (P < 0.001), a composite severity score of DED signs (P = 0.007), and tear osmolarity (P = 0.001). Similar significant differences were found across 4 age groups of 334 women in TBUT, corneal staining score, composite severity score of DED signs, and tear osmolarity (all P < 0.05) but not in men. Conclusion: We found that corneal staining, TBUT, tear osmolarity, and a composite severity score of DED signs were significantly more severe with increasing age in women but not in men; worsening symptoms did not increase with increasing age. Financial Disclosure(s): The author(s) have no proprietary or commercial interest in any materials discussed in this article
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