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Temporal-thermal enhancement of porous cooking burners.
Sci Rep
December 2024
Faculty of Mechanical Engineering, Tarbiat Modares University, P.O. Box 14115-143, Tehran, Iran.
Porous combustion has drawn vast attention over the last few decades leading to a variety of progressing applications particularly in industrial kitchens and household appliances that require time sensitive heating. The present study experimentally investigates the relationship between cooking duration and the thermal efficiency of a cooking pot heated on a porous burner providing a valuable insights into the effectiveness of the heating process in terms of both time and fuel consumption. To facilitate this investigation, a dedicated test bench is designed and constructed, equipped with thermometers and timer to effectively monitor the temporal/thermal behavior of the heating process.
View Article and Find Full Text PDFRelationship between δ-catenin expression and whole-brain small-world network in breast cancer patients before chemotherapy.
Sci Rep
December 2024
Department of Radiology, First Affiliated Hospital of Dalian Medical University, No. 222 Zhongshan Road, Xigang District, 116011, Dalian, China.
Our study aimed to investigate the relationship between δ-catenin expression and whole-brain small-world network in breast cancer patients before chemotherapy using rs-fMRI. The study was based on the hypothesis that different δ-catenin expression levels correspond to distinct brain imaging characteristics. A total of 105 pathologically confirmed breast cancer patients were collected and categorized into high δ-catenin expression (DH, 52 cases) and low expression (DL, 53 cases) groups.
View Article and Find Full Text PDFFine-grained restoration of Mongolian patterns based on a multi-stage deep learning network.
Sci Rep
December 2024
College of Computer and Information Engineering, Inner Mongolia Agricultural University, Huhhot, 010000, Inner Mongolia, China.
Mongolian patterns are easily damaged by various factors in the process of inheritance and preservation, and the traditional manual restoration methods are time-consuming, laborious, and costly. With the development of deep learning technology and the rapid growth of the image restoration field, the existing image restoration methods are mostly aimed at natural scene images. They do not apply to Mongolian patterns with complex line texture structures and high saturation-rich colors.
View Article and Find Full Text PDFHybrid optimization for efficient 6G IoT traffic management and multi-routing strategy.
Sci Rep
December 2024
Computer Engineering Department, Umm Al-Qura University, Mecca, 24381, Saudi Arabia.
Efficient traffic management solutions in 6G communication systems face challenges as the scale of the Internet of Things (IoT) grows. This paper aims to yield an all-inclusive framework ensuring reliable air pollution monitoring throughout smart cities, capitalizing on leading-edge techniques to encourage large coverage, high-accuracy data, and scalability. Dynamic sensors deployed to mobile ad-hoc pieces of fire networking sensors adapt to ambient changes.
View Article and Find Full Text PDFAutomatic calculation method for stenosis ratio based on dialysis access ultrasound image segmentation.
Med Phys
December 2024
Department of Echocardiography, Ultrasound Diagnostic Center, The First Hospital of Jilin University, Changchun, China.
Background: Dialysis Access (DA) stenosis impacts hemodialysis efficiency and patient health, necessitating exams for early lesion detection. Ultrasound is widely used due to its non-invasive, cost-effective nature. Assessing all patients in large hemodialysis facilities strains resources and relies on operator expertise.
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