DEFAULT DETECTION RATE-DEPENDENT SOFTWARE RELIABILITY MODEL WITH IMPERFECT DEBUGGING


Enhancing chemoimmunotherapy for colorectal cancer with paclitaxel and alantolactone via CD44-Targeted nanoparticles: A STAT3 signaling pathway modulation approach

Chemoimmunotherapy has the potential to enhance chemotherapy and modulate the immunosuppressive tumor microenvironment by activating immunogenic cell death (ICD), making it a promising strategy for clinical application.Alantolactone (A) was found to augment the anticancer efficacy of paclitaxel (P) at a molar ratio of 1:0.5 (P:A) through induction

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A Novel Machine-Learning Framework Based on a Hierarchy of Dispute Models for the Identification of Fish Species Using Multi-Mode Spectroscopy

Seafood mislabeling rates of approximately 20% have been reported globally.Traditional methods for fish species identification, such as DNA analysis and polymerase chain reaction (PCR), are expensive and time-consuming, and require skilled technicians and specialized equipment.The combination of spectroscopy and machine learning presents a promisin

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