Collections Abstract Data-driven material innovation has the potential to revolutionize the traditional Edisonian process and significantly shorten development cycles.However, the scarcity of data in materials science and the poor interpretability of machine learning pose serious obstacles to the adoption of this new paradigm.Here, we propose a pip
Investigation reveals Collections that a high percentage of incident causes are ascribed to some forms of human error.To effectively prevent incidents from happening, Human Reliability Analysis (HRA), as a structured way to represent unintentional operator contribution to system reliability, is a critical issue.Human Error Reduction and Assessment
With the advancement of e-commerce and modern technological development, credit cards are widely used for both online and offline purchases, which has increased the number of daily fraudulent transactions.Many organizations and financial institutions worldwide lose billions of dollars annually because of HAWTHORN credit card fraud.Due to the global
The present study aimed to examine the effects of chronological age and cardiorespiratory fitness (CRF) on cognitive performance and prefrontal cortex activity, and to test the compensation-related utilization of neural circuits hypothesis (CRUNCH).A total of 19 young adults (18⁻22 years) and Insect Repellant 37 older ones (60⁻77 years)