Publications by authors named "V N Kim"

Background: Split-thickness skin grafts (STSG) over tendon or bone often fail. In such cases, an attempt to create a neo-dermis or restore a dermal-like covering is indicated. This study compared the outcomes of dermal regeneration template (DRT) use in lower extremity (LE) wound closure when combined with STSG procedures.

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The earliest damage in glaucoma starts in the posterior pole of the eye, where the axons of retinal ganglion cells, that form the optic nerve fibers, and retinal vessels pass through the connective tissue network called the lamina cribrosa (LC). Modern diagnostic techniques, such as optical coherence tomography (OCT), enable the visualization of the LC and the assessment of blood flow within it, providing new opportunities for the diagnosis of glaucoma. This review highlights the anatomy and vascularization of the LC, along with the latest research findings obtained via OCT.

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Article Synopsis
  • Chronic bronchitis (CB) is defined as a persistent cough with sputum for at least three months each year for two consecutive years and is often linked to chronic obstructive pulmonary disease (COPD).
  • A study using data from over 104 million patients identified groups with CB only, COPD only, and both conditions, finding that most CB patients were diagnosed before COPD.
  • The study revealed that the group with both CB and COPD had the highest healthcare resource utilization (HCRU) and a greater prevalence of common comorbidities, emphasizing the need for better management of CB to prevent its progression to COPD.
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We propose a method for unsupervised reconstruction of a temporally-consistent sequence of surfaces from a sequence of time-evolving point clouds. It yields dense and semantically meaningful correspondences between frames. We represent the reconstructed surfaces as atlases computed by a neural network, which enables us to establish correspondences between frames.

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A search is presented for an extended Higgs sector with two new particles, X and ϕ, in the process X→ϕϕ→(γγ)(γγ). Novel neural networks classify events with diphotons that are merged and determine the diphoton masses. The search uses LHC proton-proton collision data at sqrt[s]=13  TeV collected with the CMS detector, corresponding to an integrated luminosity of 138  fb^{-1}.

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