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http://dx.doi.org/10.1007/s43465-020-00246-9 | DOI Listing |
Sci Total Environ
January 2025
Department of Physical, Earth and Environmental Sciences, University of Siena, Italy; NBFC, National Biodiversity Future Center, Palermo, Italy.
The Mediterranean basin is the second largest global biodiversity hotspot in the world, which coexists with a plethora of anthropogenic stress. This study examines the risks that marine litter poses to Mediterranean biodiversity, using the Special Protection Area of Mediterranean Importance (SPAMI) "Pelagos Sanctuary" as a case study. In this paper, a new survey method and data analysis strategies to assess the impact of marine litter, including microplastics, on Mediterranean organisms, is proposed.
View Article and Find Full Text PDFCurr Opin Urol
January 2025
Institute for Urology and Reproductive Health, Sechenov University, Moscow, Russia.
Purpose Of Review: Transurethral resection of bladder tumor (TURBT) remains the basis of bladder tumor diagnosis and an effective means of treating nonmuscle invasive bladder cancer (NMIBC). There are several limitations to this procedure: TURBT may cause free floating of malignant cells in the bladder and as a result re-implantation and early recurrence. Also, it does not allow the pathologist to define the correct spatial orientation of the specimen.
View Article and Find Full Text PDFNat Commun
January 2025
Department of Physics and Astronomy, University of California, Riverside, CA, USA.
The floating phase, a critical incommensurate phase, has been theoretically predicted as a potential intermediate phase between crystalline ordered and disordered phases. In this study, we investigate the different quantum phases that arise in ladder arrays comprising up to 92 neutral-atom qubits and experimentally observe the emergence of the quantum floating phase. We analyze the site-resolved Rydberg state densities and the distribution of state occurrences.
View Article and Find Full Text PDFRadiol Artif Intell
January 2025
From the Department of Radiology, University Hospital, LMU Munich, Marchioninistr 15,81377 Munich, Germany (T.W., J.D., M.I.); Department of Statistics, LMU Munich, Munich, Germany (T.W., D.R.); and Munich Center for Machine Learning, Munich, Germany (T.W., J.D., D.R., M.I.).
Purpose To investigate whether the computational effort of 3D CT-based multiorgan segmentation with TotalSegmentator can be reduced via Tucker decomposition-based network compression. Materials and Methods In this retrospective study, Tucker decomposition was applied to the convolutional kernels of the TotalSegmentator model, an nnU-Net model trained on a comprehensive CT dataset for automatic segmentation of 117 anatomic structures. The proposed approach reduced the floating-point operations (FLOPs) and memory required during inference, offering an adjustable trade-off between computational efficiency and segmentation quality.
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