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Three-dimensional (3D) LiDAR is crucial for the autonomous navigation of orchard mobile robots, offering comprehensive and accurate environmental perception. However, the increased richness of information provided by 3D LiDAR also leads to a higher computational burden for point cloud data processing, posing challenges to real-time navigation. To address these issues, this paper proposes a 3D point cloud optimization method based on the octree data structure for autonomous navigation of orchard mobile robots.

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Dr. Charles Richard Drew, a pioneering figure in modern blood banking and 20th-century medicine, revolutionized blood donation and storage processes, fundamentally shaping the field as we know it today. His extensive work with blood and plasma, combined with an innovative approach to reducing contamination, laid the foundation for modern standards in safety and efficiency.

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Background: Hyperdense middle cerebral artery sign (HMCAS) on a non-enhanced multidetector computed tomography (MDCT) scan is considered an important radiological marker in detecting acute arterial thrombotic occlusion, and it is one of the earliest signs of ischemic cerebrovascular accident (CVA). This finding has been observed within 90 min of symptom onset. Modern approaches to patients with cerebral infarction emphasize early diagnosis and management.

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Chronic wounds, especially non-healing wounds, significantly affect patients' quality of life and raise the costs of therapy. Wound healing is a complicated process involving interdependent stages, which may be impaired and delayed by infections with multi-drug resistant pathogens. Current medical strategies for wound healing, especially the treatment of non-healing wounds, exert limited therapeutic effects, thus become a dramatic challenge for modern medicine.

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Introduction: Traditional Chinese Medicine (TCM) case records encapsulate vast clinical experiences and theoretical insights, holding significant research and practical value. However, traditional case studies face challenges such as large data volumes, complex information, and difficulties in efficient retrieval and analysis. This study aimed to address these issues by leveraging modern data techniques to improve access and analysis of TCM case records.

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