Background: One of the common limitations in the treatment of cancer is in the early detection of this disease.The customary medical practice of cancer examination is a visual examination by the dermatologist followed by an invasive biopsy.Nonetheless, this symptomatic approach is time-consuming and prone to human errors.An automated machine learni
BACKGROUND: The early evolution and diversification of Hox-related genes in eumetazoans has been the subject of conflicting hypotheses concerning the evolutionary conservation of their role in axial patterning and the pre-bilaterian origin of the Hox and ParaHox clusters.The diversification of Hox/ParaHox genes clearly predates the origin of bilate
Johan Tham,1 Mats Walder,2 Eva Melander,2,3 Inga Odenholt11Infectious Diseases Unit, Department of Clinical Sciences, 2Medical Microbiology, Department of Laboratory Medicine, Lund University, Malmö, Sweden; 3Department of Needles Infection Control, Laboratory Medicine, Skåne County, SwedenAbstract: Extended-spectrum β-l
This study introduces a deep learning engine designed for the non-destructive automatic detection of defects within weld beads.A 1D waveform ultrasound signal was collected using an A-scan pulser receiver to gather defect signals from inside the weld bead.We established 5,108 training Firewire datasets and 500 test datasets for five pass/fail label
Objective : Expansion screws like Hyrax, Haas and other types, produce heavy interrupted forces which are unfavorable for dental movement and could be harmful to the tooth and periodontium.The other disadvantage of these screws is the need for patient cooperation for their regular activation.The purpose of this study was to design a screw and compa