Search results for "causa."
showing 10 items of 647 documents
Jim's Responsibiity. Further Reflections on Bernard Williams' "Jim and the Indians".
2009
A preliminary comparative study on the effects of pilates training on physical fitness of young female volleyball players
2019
Introduction: Volleyball is one of the world’s most popular sports and because of its enormous popularity many studies have been conducted in an attempt to understand the better method training required to develop fitness performance by a volleyball player. Among which, Pilates exercises have also offered new effective methods for increasing strength and enhancing flexibility. However, many studies have looked at the benefits of Pilates-based exercises only for low back pain and improvement of a person’s quality of life. Therefore, the purpose of this preliminary causal-comparative study was to examine the effects of Pilates training on some physical fitness components in young female volle…
Emergence, Life, and Complexity
2021
This paper aims at explaining some pivotal features of the concept of emergence: a) downward causation; b) process-ontology; c) configurational metaphysics.
Application of Inverse-Probability-of-Treatment Weighting to Estimate the Effect of Daytime Sleepiness in Obstructive sleep apnea patients
2022
Continuous positive airway pressure (CPAP), the first line therapy for obstructive sleep apnea (OSA), is considered effective in reducing daytime sleepiness. Its efficacy relies on adequate adherence, often defined as >4 hours per night. However, this binary threshold may limit our understanding of the causal effect of CPAP adherence and daytime sleepiness and multilevel approach for CPAP adherence can be more appropriate.
Why do Traditional Performance Management Systems in Healthcare not always lead to Improved Performance? Outlining the Unintended Consequences of the…
2021
Researchers all around the globe have not yet come to an end as regards the supposed positive impact of traditional performance management systems in healthcare, and some research has shown that, paradoxically, performance management policies do not always lead to improved hospital performance. Despite the extensive research identifying the “pitfalls” of the NPM reforms around Europe and the unintended consequences for hospital staff and patients, little is known about the mechanisms that caused those negative effects, which essentially creates a research gap worth investigating. This PhD study tries to address this gap and show why do traditional PM Systems in healthcare not always lead to…
Causal models for monitoring University of Palermo ordinary financinf fund
2012
Causal inference in geosciences with kernel sensitivity maps
2020
Establishing causal relations between random variables from observational data is perhaps the most important challenge in today's Science. In remote sensing and geosciences this is of special relevance to better understand the Earth's system and the complex and elusive interactions between processes. In this paper we explore a framework to derive cause-effect relations from pairs of variables via regression and dependence estimation. We propose to focus on the sensitivity (curvature) of the dependence estimator to account for the asymmetry of the forward and inverse densities of approximation residuals. Results in a large collection of 28 geoscience causal inference problems demonstrate the…
Causal Inference in Geoscience and Remote Sensing From Observational Data
2020
Establishing causal relations between random variables from observational data is perhaps the most important challenge in today’s science. In remote sensing and geosciences, this is of special relevance to better understand the earth’s system and the complex interactions between the governing processes. In this paper, we focus on an observational causal inference, and thus, we try to estimate the correct direction of causation using a finite set of empirical data. In addition, we focus on the more complex bivariate scenario that requires strong assumptions and no conditional independence tests can be used. In particular, we explore the framework of (nondeterministic) additive noise models, …
Online Topology Identification from Vector Autoregressive Time Series
2019
Causality graphs are routinely estimated in social sciences, natural sciences, and engineering due to their capacity to efficiently represent the spatiotemporal structure of multivariate data sets in a format amenable for human interpretation, forecasting, and anomaly detection. A popular approach to mathematically formalize causality is based on vector autoregressive (VAR) models and constitutes an alternative to the well-known, yet usually intractable, Granger causality. Relying on such a VAR causality notion, this paper develops two algorithms with complementary benefits to track time-varying causality graphs in an online fashion. Their constant complexity per update also renders these a…
Coming up Roses
2022
Discussing two short stories by contemporary Scottish author Ali Smith, my article recommends a close reading of short prose narratives as potential examples of ungendered character-narration. I combine queer and unnatural narrative theory to consider how forms of telling contribute to gender ambiguity. Further, I advocate interpretative strategies that resist naturalization and causal explanations. Instead, a queer reading of Smith’s “erosive” (2003) and “The beholder” (2015) delights in their ambiguity, waywardness, and narrative inventiveness. The texts can be approached as exercises in unknowing.
 Keywords: queer narratology, unnatural narratology, ungendering, narrative voice, cau…