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Universal Causality is a mathematical framework based on higher-order category theory, which generalizes previous approaches based on directed graphs and regular categories.
Sridhar Mahadevan
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Causal versions of maximum entropy and principle of insufficient reason
The principle of insufficient reason (PIR) assigns equal probabilities to each alternative of a random experiment whenever there is no reason to prefer one over the other.
Janzing Dominik
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Thyroid hormone: sex-dependent role in nervous system regulation and disease
Thyroid hormone (TH) regulates many functions including metabolism, cell differentiation, and nervous system development. Alteration of thyroid hormone level in the body can lead to nervous system-related problems linked to cognition, visual attention ...
Shounak Baksi, Ajay Pradhan
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Mendelian randomization indicates causal effects of estradiol levels on kidney function in males
ContextChronic kidney disease (CKD) is a public health burden worldwide. Epidemiological studies observed an association between sex hormones, including estradiol, and kidney function.ObjectiveWe conducted a Mendelian randomization (MR) study to assess a
M. Kamal Nasr +9 more
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Causality connectives in Japanese: A translation-based study
This paper uses an ad hoc corpus of an acknowledged translation of a play by Anton Chekhov to study means of expressing causality in Russian and Japanese discourse.
S. V. Chironov
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Review of mendelian randomization studies on age at natural menopause
Menopause marks the end of the reproductive phase of life. Based on epidemiological studies, abnormal age at natural menopause (ANM) is thought to contribute to a number of adverse outcomes, such as osteoporosis, cardiovascular disease, and cancer ...
Xiao Zhang +6 more
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Observational studies have suggested a positive association between gastroesophageal reflux disease and lung cancer, but due to the existence of confounders, it remains undetermined whether gastroesophageal reflux disease (GERD) has a causal association ...
Jing Yang +6 more
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Causality and Unification: How Causality Unifies Statistical Regularities
Two key ideas of scientific explanation - explanations as causal information and explanation as unification - have frequently been set into mutual opposition.
Gerhard Schurz
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On the Causality and K-Causality between Measures
Drawing from the optimal transport theory adapted to the Lorentzian setting, we propose and study the extension of the Sorkin–Woolgar causal relation K + onto the space of Borel probability measures on a given spacetime.
Tomasz Miller
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BackgroundNumerous observational studies have suggested that atrial fibrillation (AF) was associated with an increased risk of vascular dementia (VaD). However, the causal genetic relationships between AF and VaD remains unclear.
Ya-fang Gao +5 more
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