Epithelial fusion establishes continuity between the separated flanks of epithelial sheets. Despite its importance in creating resilient barriers, the mechanisms that ensure stable continuity and preserve morphological and molecular symmetry upon fusion remain unclear. Using the segmented embryonic epidermis whose flanks fuse during Drosophila dorsal closure, we demonstrate that epidermal flanks modulate cell numbers and geometry of their fusing fronts to achieve fusion fidelity. While fusing flanks become more matched for both parameters before fusion, differences persisting at fusion are corrected by modulating fusing front width within each segment to ensure alignment of segment boundaries. We show that fusing cell interfaces are remodelled from en-face contacts at fusion to an interlocking arrangement after fusion, and demonstrate that changes in interface length and geometry are dependent on the spatiotemporal regulation of cytoskeletal tension and Bazooka/Par3. Our work uncovers genetically constrained and mechanically triggered adaptive mechanisms contributing to fusion fidelity and epithelial continuity.
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http://dx.doi.org/10.7554/eLife.41091 | DOI Listing |
BMC Med Inform Decis Mak
December 2024
School of Mechanical, Medical, and Process Engineering, Queensland University of Technology, Brisbane, QLD, 4000, Australia.
Background: The detection and classification of lung nodules are crucial in medical imaging, as they significantly impact patient outcomes related to lung cancer diagnosis and treatment. However, existing models often suffer from mode collapse and poor generalizability, as they fail to capture the complete diversity of the data distribution. This study addresses these challenges by proposing a novel generative adversarial network (GAN) architecture tailored for semi-supervised lung nodule classification.
View Article and Find Full Text PDFWorld Neurosurg
December 2024
Department of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA; McKenna EpiLog Fellowship in Population Health, at the University of Pennsylvania, Philadelphia, PA, USA. Electronic address:
Background: While studies have examined the relationship between sex and outcomes after lumbar fusion surgery, few have strictly controlled for other patient-level variables. In this study, we use coarsened exact matching to determine the effect of patient-reported sex on spinal fusion outcomes.
Methods: Outcomes across 4680 consecutive adult single-level, posterior-only lumbar fusions at a multihospital academic medical center were retrospectively assessed.
Sensors (Basel)
November 2024
Department of Geodesy and Geoinformation, TU Wien-Vienna University of Technology, 1040 Vienna, Austria.
"Smart" devices, such as contemporary smartphones and PDAs (Personal Digital Assistance), play a significant role in our daily live, be it for navigation or location-based services (LBSs). In this paper, the use of Ultra-Wide Band (UWB) and Wireless Fidelity (Wi-Fi) based on RTT (Round-Trip Time) measurements is investigated for pedestrian user localization. For this purpose, several scenarios are designed either using real observation or simulated data.
View Article and Find Full Text PDFSensors (Basel)
November 2024
Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China.
The underwater imaging process is often hindered by high noise levels, blurring, and color distortion due to light scattering, absorption, and suspended particles in the water. To address the challenges of image enhancement in complex underwater environments, this paper proposes an underwater image color correction and detail enhancement model based on an improved Cycle-consistent Generative Adversarial Network (CycleGAN), named LPIPS-MAFA CycleGAN (LM-CycleGAN). The model integrates a Multi-scale Adaptive Fusion Attention (MAFA) mechanism into the generator architecture to enhance its ability to perceive image details.
View Article and Find Full Text PDFSci Rep
December 2024
National Institute for Fusion Science, Toki, Gifu, 509-5292, Japan.
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