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http://dx.doi.org/10.1111/j.1365-4632.2011.04991.x | DOI Listing |
J Craniofac Surg
January 2025
State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University.
Lipomas are benign soft tissue tumors composed of mature adipocytes, commonly found in subcutaneous tissues. Despite their prevalence in various body regions, they are relatively rare in the oral and maxillofacial regions. This study retrospectively analyzed the clinical and imaging characteristics, as well as the treatment outcomes of 57 patients diagnosed with lipoma.
View Article and Find Full Text PDFJ Craniofac Surg
October 2024
State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University.
Lipomas are benign soft tissue tumors composed of mature adipocytes, commonly found in subcutaneous tissues. Despite their prevalence in various body regions, they are relatively rare in the oral and maxillofacial regions. This study retrospectively analyzed the clinical and imaging characteristics, as well as the treatment outcomes of 57 patients diagnosed with lipoma.
View Article and Find Full Text PDFHeliyon
October 2024
Department of Pharmacognosy, Shreeyash Institute of Pharmaceutical Education and Research, Aurangabad, 431010, Maharashtra, India.
Heliyon
November 2024
Computers Engineering and Control Systems Department, Faculty of Engineering, Mansoura University, Mansoura, 35516, Egypt.
A cost-effective IoT-based real-time data acquisition and analysis hardware system was developed to enhance the performance of the mobile harbor cranes using a combination of a cost-effective quality control monitoring sensor dashboard (proximity sensors, angle position sensor, weight sensor, vibration sensor, and wind sensor), embedded microcontroller (Arduino), and embedded computer (Raspberry Pi). Hardware was operated using a specially developed novel Quality Control and Data Acquisition Multiprocessing software (QC-DAS). The QC-DAS can automatically collect and save real-time data of the sensors in a large-capacity SD card, monitor the state of health of the hardware, and transmit the real-time data of the sensors and the working state of the crane to an IoT server.
View Article and Find Full Text PDFNeural Netw
February 2025
Department of Computer Application Technology, Changchun University of Technology, PR China.
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