TOWARDS ENHANCING AUTOMATED DEFECT RECOGNITION (ADR) IN DIGITAL X-RAY RADIOGRAPHY APPLICATIONS: SYNTHESIZING TRAINING DATA THROUGH X-RAY INTENSITY DISTRIBUTION MODELING FOR DEEP LEARNING ALGORITHMS

Industrial radiography is a pivotal non-destructive testing (NDT) method that ensures quality and safety in a wide range of industrial sectors.Conventional human-based approaches, however, are prone to challenges in defect detection accuracy and efficiency, primarily due to the high inspection demand from manufacturing bondage-collars industries wi

Abstract Background The European Region has the lowest rate of exclusive breastfeeding at 6 months worldwide.Improving work-related breastfeeding issues is important given that women may have difficulties combining work and breastfeeding, especially those in precarious working situations, which adds to their adversity.This scoping review overviews

Summary: Antigen-specific antibody infusion is known to enhance or suppress germinal center (GC) responses depending on the affinity of the infusion.We hypothesized that infusing monoclonal antibodies (mAbs) of escalating affinity during an immunization regimen may progressively escalate selection pressure on competing B cells, increasing their aff

Pyogenic granuloma is one of the inflammatory hyperplasia seen in the oral cavity.This term is a misnomer because the lesion is unrelated to infection and in reality arises in response to various stimuli such as low- grade local irritation, traumatic injury or Lemon hormonal factors.Clinically, oral pyogenic granuloma is a smooth or lobulated exoph