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Difficulty score for the treatment of multiple gingival recessions with the Modified Coronally Advanced Tunnel technique: a preliminary reliability study.
Clin Oral Investig
January 2025
Department of Biomedical and Neuromotor Sciences, Bologna University, Piazza di Porta S. Donato St 2, 40-127, Bologna, Italy.
Objectives: The purpose of this study was to propose a new difficulty score for the treatment of multiple gingival recessions (GRs) with Modified Coronally Advanced Tunnel (MCAT), and to test the score's reliability.
Material And Methods: A difficulty score was developed for the assessment and grading of 13 relevant anatomical parameters at baseline. Six experienced dental practitioners evaluated existing GRs in three patients.
Human vs Machine: The Future of Decision-making in Plastic and Reconstructive Surgery.
Aesthet Surg J
January 2025
Department of Plastic, Reconstructive and Aesthetic Surgery, Faculty of Medicine, Altınbas University, Istanbul, Turkey.
Background: Artificial intelligence (AI)-driven technologies offer transformative potential in plastic surgery, spanning pre-operative planning, surgical procedures, and post-operative care, with the promise of improved patient outcomes.
Objectives: To compare the web-based ChatGPT-4o (omni; OpenAI, San Francisco, CA) and Gemini Advanced (Alphabet Inc., Mountain View, CA), focusing on their data upload feature and examining outcomes before and after exposure to CME articles, particularly regarding their efficacy relative to human participants.
Bias in Discontinuous Elevational Transects for Tracking Species Range Shifts.
Plants (Basel)
January 2025
College of Life Sciences, Zhejiang University, Hangzhou 310058, China.
Climate change is compelling species to seek refuge at higher elevations and latitudes. While researchers commonly study these migrations using discontinuous elevational transects, this methodology may introduce significant biases into our understanding of species movement. These potential biases could lead to flawed biodiversity conservation policies if left unexamined.
View Article and Find Full Text PDFA Feature-Enhanced Small Object Detection Algorithm Based on Attention Mechanism.
Sensors (Basel)
January 2025
School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi 214122, China.
With the rapid development of AI algorithms and computational power, object recognition based on deep learning frameworks has become a major research direction in computer vision. UAVs equipped with object detection systems are increasingly used in fields like smart transportation, disaster warning, and emergency rescue. However, due to factors such as the environment, lighting, altitude, and angle, UAV images face challenges like small object sizes, high object density, and significant background interference, making object detection tasks difficult.
View Article and Find Full Text PDFA Large-Scale Agricultural Land Classification Method Based on Synergistic Integration of Time Series Red-Edge Vegetation Index and Phenological Features.
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National Engineering Laboratory for Efficient Utilization of Soil and Fertilizer Resources, College of Resources and Environment, Shandong Agricultural University, Tai'an 271018, China.
Agricultural land classification plays a pivotal role in food security and ecological sustainability, yet achieving accurate large-scale mapping remains challenging. This study presents methodological innovations through a multi-level feature enhancement framework that transcends traditional time series analysis. Using Shandong Province, northern China's agricultural heartland, as a case study, we first established a foundation with time series red-edge vegetation indices (REVI) from Sentinel-2 imagery, uniquely combining the normalized difference red edge index (NDRE) and plant senescence reflectance index (PSRI).
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