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First Report of Causing Heart Rot Disease of in China.
Plant Dis
December 2024
Dalian Minzu University, College of Environment and Resources, Liaohe West Road No.8, Dalian Economic and Technological Developing Zone, Dalian, China, 116600;
Styphnolobium japonicum (L.) Schott, is an ornamental species of Leguminosae, widely planted as a roadside tree in north regions of China (Kite et al. 2007).
View Article and Find Full Text PDFOptimizing the Appropriate Mode of the Pulse-Modulated Holmium Laser in a Pop-Dusting Benchtop Model.
Urology
December 2024
Division of Urology, Department of Surgery, Ramathibodi Hospital, Faculty of Medicine, Mahidol University, Bangkok, Thailand.
Objectives: To investigate the effectiveness of different holmium:yttrium-aluminum-garnet (Ho:YAG) laser modes for lithotripsy in the "dusting era" and identify the optimal laser mode for producing stone fragments measuring ≤0.5 mm.
Methods: We used plaster of Paris-made artificial stones crushed into 2-3 mm pieces, weighing 1 g in total.
Editorial: The evolution of minimally invasive urologic surgery: innovations, challenges, and opportunities.
Front Surg
December 2024
Department of Urology, University of Southampton, Southampton, United Kingdom.
Colour Changes and Surface Roughness After Air-Polishing for Tobacco Stain Removal.
Int Dent J
December 2024
Department of Dental and Oral Medicine and Cranio-maxillofacial and Oral Surgery, University Hospital for Conservative Dentistry and Periodontology, Medical University of Innsbruck, Innsbruck, Austria.
Introduction And Aims: We aimed to investigate the efficacy of air-polishing in restoring the original tooth colour of standardised tobacco-stained tooth specimens.
Methods: Seventy-two specimens consisting of half dentine and half enamel were daily exposed to the smoke of five cigarettes in an automated smoking chamber. Four repetitions of a 14-day smoking cycle were performed.
AI-Augmented Kidney Stone Composition Analysis with Auto-Release Improves Quality, Efficiency, Cost-Effectiveness, and Staff Satisfaction.
J Appl Lab Med
December 2024
Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States.
Background: We sought to evaluate key performance indicators related to an internally developed and deployed artificial intelligence (AI)-augmented kidney stone composition test system for potential improvements in test quality, efficiency, cost-effectiveness, and staff satisfaction.
Methods: We compared quality, efficiency, staff satisfaction, and financial data from the 6 months after the AI-augmented laboratory test system was deployed (test period) with data from the same 6-month period in the previous year (control period) to determine if AI-augmentation improved key performance indicators of this laboratory test.
Results: In the 6 months following the deployment (test period) of the AI-augmented kidney stone composition test system, 44 830 kidney stones were analyzed.
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