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  • - A 4th lactation dairy cow had complications after an unsuccessful treatment for a left displaced abomasum (LDA) using the "blind-stitch" method, leading to abnormal health signs and inflammation at the incision site.
  • - After administering antibiotics and fluids, the cow underwent a laparotomy and omentopexy surgery to resolve adhesion issues, and was monitored before being discharged two weeks later.
  • - The cow produced 18,000 kg of milk post-treatment, with total costs for both interventions at 1,207 €, alongside an estimated revenue loss of 4,168 € due to complications, highlighting the need for careful method selection for LDA corrections.
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The geostationary orbit imaging spectrometer offers distinct advantages for diverse applications in remote sensing. To enhance swath and data richness, there is a growing trend toward spectrometers with broader fields of view (FOV) and extended slit lengths. Optical systems equipped with these features face significant challenges in aberration correction.

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  • The text outlines the development of a plug-and-play adaptive optics module for commercial microscopes that uses a deformable phase plate to improve image quality through aberration correction.
  • By estimating aberration profiles at multiple points and stitching corrected images together, the system aims to create high-quality full-field images.
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Ribozymes are small catalytic RNA sequences capable of nucleotide-specific self-cleavage found widespread in nature. Ribozyme cleavage generates distinct 2',3'-phosphate and 5'-hydroxyl termini that resemble substrates for recently characterized RNA repair pathways in cells. We report that ribozyme cleavage of two separate mRNAs activated their scarless trans-ligation and translation into full-length protein in eukaryotic cells, a process that we named StitchR (for Stitch RNA).

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Single underwater images often face limitations in field-of-view and visual perception due to scattering and absorption. Numerous image stitching techniques have attempted to provide a wider viewing range, but the resulting stitched images may exhibit unsightly irregular boundaries. Unlike natural landscapes, the absence of reliable high-fidelity references in water complicates the replicability of these deep learning-based methods, leading to unpredictable distortions in cross-domain applications.

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