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Há 3 dias · Due to the COVID-19 pandemic, data collection was terminated prematurely; the preliminary nature of these findings due to small sample size should be contextualized by rigorous experimental design and use of a novel causal perturbation to dissociate cognitive effort and cognitive control. Date of publication. 2021; Keyword. Glucose facilitation ...
Há 1 dia · We identified a novel regulatory scheme wherein environmentally responsive genes, soxR and oxyR, activate fur, modulating the nitrogen metabolism regulators fnr and nac. This regulatory cascade controls the stress regulators ompR and lrhA, ultimately affecting the cell motility gene flhD, unveiling a novel regulatory axis that elucidates the complex regulatory dynamics during the AAT process.
Há 16 horas · Abstract. Retirement is a critical life event for older people. Health scholars have scrutinized the health effects of retirement, but its consequences on age-related diseases and mortality are unclear. We extend this body of research by integrating measurements of biological age, representing the physiological decline preceding disease onset. Using data from the UK Biobank and a fuzzy ...
Há 3 dias · Causal AI is a form of artificial intelligence (AI) designed to identify and understand the cause and effect of relationships across data. It surpasses traditional machine learning and other AI models’ ability to move beyond correlation to establish cause-and-effect relationships.
Há 3 dias · Since the growth of human knowledge is a causal factor in the evolution of human history, and since "no society can predict, scientifically, its own future states of knowledge", it follows, he argued, that there can be no predictive science of human history.
Há 3 dias · In this second edition of Counterfactuals and Causal Inference, completely revised and expanded, the essential features of the counterfactual approach to observational data analysis are presented with examples from the social, demographic, and health sciences.
Há 5 dias · A new statistical analysis method developed at SISSA enables more effective differentiation of cause-and-effect relationships in ambiguous situations.
