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Quasiendozentrische Komposita – gibt es Platz fur einen neuen Typ?
Published 2025-02-01Get full text
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THE DEVELOPMENT OF HOTEL BASE IN POLAND WITH THE USE OF EU FUNDS
Published 2016-05-01Get full text
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Machine learning and AI for advancing Parkinson's disease diagnosis: exploring promising applications
Published 2024-03-01Get full text
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Good practice for assignment of breeds and populations—a review
Published 2025-02-01Get full text
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New Classification of Benign Epithelial Tumors: Colorectal Polyps and Synchronous Neoplasms: An Update and Critical Assessment: An Analysis of 678 Consecutive Cases and 1137 Polyps
Published 2023-03-01“…All epithelial polyps were re-classified according to the World Health Organization classification of digestive system tumors-2019, 5th edition. …”
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An Improved Yolov10n for Detection of Bronchoalveolar Lavage Cells
Published 2025-01-01Get full text
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Identified VCAM1 as prognostic gene in gastric cancer by co-expression network analysis
Published 2024-12-01Get full text
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Visual Gradation of Biological Soil Crust Development: A Simple and Effective Recording Method
Published 2025-01-01Get full text
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A Large-Scale Agricultural Land Classification Method Based on Synergistic Integration of Time Series Red-Edge Vegetation Index and Phenological Features
Published 2025-01-01“…The study yielded three significant findings: (1) The synergistic application of NDRE<sub>705</sub> and PSRI significantly outperformed single-index approaches, demonstrating the effectiveness of our dual-index strategy; (2) The integration of SFPs and PFPs with time series REVI markedly enhanced feature discrimination at crucial growth stages, with PFPs showing superior capability in distinguishing agricultural land types through amplified phenological signatures; (3) Our optimal classification scheme (FC6), leveraging both enhanced spatial and phenological features, achieved remarkable accuracy (93.21%) with a Kappa coefficient of 0.9159, representing improvements of 4.83% and 0.0538, respectively, over the baseline approach. …”
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Evaluation of the significance of tumor stromal patterns and peri-tumoral inflammation in head and neck squamous cell carcinoma with special reference to the Yamamoto–Kohama classi...
Published 2024-04-01“…However, one (3.7%) case of moderately differentiated SCC and two (28.6%) cases of poorly differentiated SCC showed signs of immature SR. …”
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