Results 1 to 10 of about 385,289 (314)
On the Causality and K-Causality between Measures [PDF]
Universe, 2017 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
doaj +4 more sources
Some Epistemological and Ontological Reflections on Concept of Causality: From Scientific Causality to Contextual Causality [PDF]
مجلة القراءة والمعرفة, 2022 This paper tries to present a critical analysis to the concept of scientific causality and the problems that it entails within scientific domain.
Mohamed S Hassan Engy H Abdel Hafez Hassan
doaj +1 more source
Causal versions of maximum entropy and principle of insufficient reason
Journal of Causal Inference, 2021 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
doaj +1 more source
Thyroid hormone: sex-dependent role in nervous system regulation and disease
Biology of Sex Differences, 2021 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
doaj +1 more source
Entropy, 2023 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
doaj +1 more source
Quantitative Causality, Causality-Aided Discovery, and Causal Machine Learning
Ocean-Land-Atmosphere Research, 2023 It has been said, arguably, that causality analysis should pave a promising way to interpretable deep learning and generalization. Incorporation of causality into artificial intelligence algorithms, however, is challenged with its vagueness, nonquantitativeness, computational inefficiency, etc.
Xin‐Zhong Liang +2 more
openaire +2 more sources
Mendelian randomization indicates causal effects of estradiol levels on kidney function in males
Frontiers in Endocrinology, 2023 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
doaj +1 more source
Causality connectives in Japanese: A translation-based study
Японские исследования, 2023 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
doaj +1 more source
Causal Factors, Causal Inference, Causal Explanation [PDF]
Aristotelian Society Supplementary Volume, 1986 s from how likely it is that the person is a smoker in the first place. More generally, the trouble is that the likelihood principle aims to by-pass decisions about prior probabilities. Perhaps there are some inferential contexts where such decisions can sensibly be avoided. But the inference from Harry's heart attack to his smoking isn't one of them. (
Elliott Sober, David Papineau
openaire +1 more source
Review of mendelian randomization studies on age at natural menopause
Frontiers in Endocrinology, 2023 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
doaj +1 more source