منابع مشابه
The Berkson Bias in Action
Thirty years ago Berkson recognized that differences in selection rates of different diseases for admission to the hospital will systematically change the frequency with which those diseases co-exist in hospitalized patients from the frequency rate in the general population. Mainland subsequently demonstrated that postmortem studies systematically show a lower co-morbidity rate for any two indi...
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Weight-related issues (including excess weight, disordered eating and body concerns) are often considered as comprising distinct domains of 'obesity' and 'eating disorders'. In this commentary we argue that the concept of weight bias is an important variable when considering wellbeing across the spectrum of weight-related issues. We make the following six points in support of this argument: i) ...
متن کاملAction as an innate bias for visual learning.
B abies are faced at birth with a buzzing blooming confusion of visual stimuli (1). The set of all possible images is truly enormous (2), and simple calculations suggest that only a small fraction of all possible images have ever been seen over the entire history and prehistory of mankind. Moreover, the world consists of an estimated number of 30,000 objects (3), which occur in more than 1,000 ...
متن کاملFunctional selectivity of GPCR-directed drug action through location bias
G-protein-coupled receptors (GPCRs) are increasingly recognized to operate from intracellular membranes as well as the plasma membrane. The β2-adrenergic GPCR can activate Gs-linked cyclic AMP (Gs-cAMP) signaling from endosomes. We show here that the homologous human β1-adrenergic receptor initiates an internal Gs-cAMP signal from the Golgi apparatus. By developing a chemical method to acutely ...
متن کاملLearning without Prejudice: Avoiding Bias in Webly-Supervised Action Recognition
Webly-supervised learning has recently emerged as an alternative paradigm to traditional supervised learning based on large-scale datasets with manual annotations. The key idea is that models such as CNNs can be learned from the noisy visual data available on the web. In this work we aim to exploit web data for video understanding tasks such as action recognition and detection. One of the main ...
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ژورنال
عنوان ژورنال: Journal AWWA
سال: 2019
ISSN: 0003-150X,1551-8833
DOI: 10.1002/awwa.1244