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A novel RRT*-Connect algorithm for path planning on robotic arm collision avoidance.
Sci Rep
January 2025
Zhejiang Ansheng Science & Technology Stock Co.,Ltd, Yongkang, 321314, China.
To address the limitations of the original algorithm, several optimization techniques are proposed. This article presents an original RRT*-Connect algorithm for the planning of obstacle avoidance paths on robotic arms. These strategies include implementing a target biasing algorithm, using elliptic space sampling to enhance the sampling process, the revision of the cost function to better guide path planning, and implementing an artificial potential field and gradient descent strategy to design adaptive step sizes.
View Article and Find Full Text PDFReducing Quotation Errors in Scientific Manuscripts: A Novel Approach from the Global Andrology Forum.
World J Mens Health
January 2025
Global Andrology Forum, Moreland Hills, OH, USA.
Purpose: This study investigated 1) the frequency of quotation errors in multi-authored medical manuscripts in andrology, 2) analyzed common types of quotation errors and the methods used to rectify them, and 3) evaluated their impact on manuscript accuracy, credibility, and research conclusions.
Materials And Methods: Twelve manuscripts written by the Global Andrology Forum (GAF) members between 2023 and 2024 were randomly selected for this study. The manuscripts and "Quotation Verification Sheets" were analyzed by senior GAF researchers to detect the number and types of quotation errors.
Logistics Management Information System (LMIS) for Health Commodities at Public Health Facilities in Amhara National Regional State of Ethiopia: A Data Quality Evaluation Survey.
J Multidiscip Healthc
January 2025
Department of Pharmaceutics and Social Pharmacy, Addis Ababa University, Addis Ababa, Ethiopia.
Introduction: Access to essential medicines is limited in developing countries mainly due to inefficiencies in health supply chain management, such as the absence of standard monitoring frameworks and poorly designed Logistics Management Information Systems (LMIS). Health supply chain managers need accurate and timely data for decision-making. However, routine health information systems suffer from poor data quality, reliance on paper-based reports, insufficient logistic formats, inadequate infrastructure, and limited human resources.
View Article and Find Full Text PDFAutomated elbow ultrasound image recognition: a two-stage deep learning system via Swin Transformer.
Quant Imaging Med Surg
January 2025
Department of Medical Ultrasound, West China Hospital of Sichuan University, Chengdu, China.
Background: Ultrasound imaging is pivotal for point of care non-invasive diagnosis of musculoskeletal (MSK) injuries. Notably, MSK ultrasound demands a higher level of operator expertise compared to general ultrasound procedures, necessitating thorough checks on image quality and precise categorization of each image. This need for skilled assessment highlights the importance of developing supportive tools for quality control and categorization in clinical settings.
View Article and Find Full Text PDFUsing light to image millimeter wave based on stacked meta-MEMS chip.
Light Sci Appl
January 2025
Institute of Modern Optics, Nankai University, Tianjin Key Laboratory of Micro-scale Optical Information Science and Technology, Tianjin, 300350, China.
A stacked metamaterial MEMS (meta-MEMS) chip is proposed, which can perfectly absorb electromagnetic waves, convert them into mechanical energy, drive movement of the optical micro-reflectors array, and detect millimeter waves. It is equivalent to using visible light to image a millimeter wave. The meta-MEMS adopts the design of upper and lower chip separation and then stacking to achieve the "dielectric-resonant-air-ground" structure, reduce the thickness of the metamaterial and MEMS structures, and improve the performance of millimeter wave imaging.
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