Art, Interpretation, and the Rest of Life

Author(s):  
Alexander Nehamas
Keyword(s):  
1984 ◽  
Vol 15 (2) ◽  
pp. 241 ◽  
Author(s):  
Richard Wollheim

2014 ◽  
Vol 41 (5) ◽  
pp. 520 ◽  
Author(s):  
Roman Zweifel ◽  
David M. Drew ◽  
Fritz Schweingruber ◽  
Geoffrey M. Downes

The state-of-the-art interpretation of stem radius changes (DRTotal) for tree water relations is based on knowledge from mostly slow growing tree species. The ratio between diurnal size fluctuations of the rigid xylem (DRXylem) and the respective fluctuations of the elastic bark (DRBark) is known to be small (<0.4) and is of importance for the localisation of water storage dynamics in stems. In this study, fast growing Eucalyptus globulus Labill. in Tasmania were investigated by point dendrometers in order to investigate tree water relations. Unexpectedly, DRXylem was found to be the main driver of DRTotal with the bark acting as a passive layer on top of the fluctuating xylem under most conditions. Accordingly, the ratio between the diurnal fluctuations of the two tissues was found to be much higher (0.6–1.6) than everything reported before. Based on simulations using a hydraulic plant model, the high tissue-specific elasticity of the Eucalyptus xylem was found to explain this atypical response and not osmotically-driven processes or species-specific flow resistances. The wide zone of secondary thickening xylem in various stages of lignification is proposed to be an important component of the high wood elasticity. The tissue acts as additional water storage like the bark and may positively affect the water transport efficiency.


2016 ◽  
Vol 7 (1) ◽  
pp. e22-e30 ◽  
Author(s):  
Monica Kidd ◽  
Lara Nixon ◽  
Tom Rosenal ◽  
Roberta Jackson ◽  
Laurie Pereles ◽  
...  

Background: Vulnerable persons often face stigma-related barriers while seeking health care. Innovative education and professional development methods are needed to help change this.Method: We describe an interdisciplinary group workshop designed around a discomfiting oil portrait, intended to trigger provocative conversations among health care students and practitioners, and we present our mixed methods analysis of participant reflections.Results: After the workshop, participants were significantly more likely to endorse the statements that the observation and interpretive skills involved in viewing visual art are relevant to patient care and that visual art should be used in medical education to improve students’ observational skills, narrative skills, and empathy with their patients.  Subsequent to the workshop, significantly more participants agreed that art interpretation should be required curriculum for health care students. Qualitative comments from two groups from two different education and professional contexts were examined for themes; conversations focused on issues of power, body image/self-esteem, and lessons for clinical practice.   Conclusions: We argue that difficult conversations about affective responses to vulnerable persons are possible in a collaborative context using well-chosen works of visual art that can stand in for a patient.


2011 ◽  
Vol 50 (4) ◽  
pp. 211-215 ◽  
Author(s):  
Bonnie Ewing ◽  
Marie Hayden-Miles

Author(s):  
Jun-Peng Fang ◽  
Jun Zhou ◽  
Qing Cui ◽  
Cai-Zhi Tang ◽  
Long-Fei Li

In recent years, machine learning models have achieved magnificent success in many industrial applications, but most of them are black boxes. It is crucial to understand why such predictions are made in many critical areas such as medicine, financial markets, and auto driving. In this paper, we propose Coco, a novel interpretation method which can interpret any binary classifier by assigning each feature an importance value for a particular prediction. We first adopt MixUp method to generate reasonable perturbations, then apply these perturbations with constraints to obtain counterfactual instances and finally compute a comprehensive metric on these instances to estimate the importance of each feature. To demonstrate the effectiveness of Coco, we conduct extensive experiments on several datasets. The results show our method achieves better performance in identifying the most important features compared with the state-of-the-art interpretation methods, including Shap and Lime.


1994 ◽  
Vol 52 (2) ◽  
pp. 193-206
Author(s):  
ROBERT STECKER
Keyword(s):  

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