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D. Biased. 42. Which of the following would be the subject of the text? A. The professionalization of child care has pushed up its price. B. The high cost of child nursing makes many mothers give up their jobs. C. The employment of more graduates makes nurseries more popular. D. ...
Adults showed a highly female biased sex ratio, out-breeding behaviour, and sex-role reversal. Paedogenetic larvae of Micromalthus are infected with the endosymbiotic bacteria Rickettsia and Wolbachia. Clear signs of vestigialization in adults are concurrent with the loss of adults. Our data suggest...
Body composition andbody mass index(BMI) are tools that assess body fatness. However, the methods used to measure body composition and BMI differ. Additionally, BMI may not provide accurate results in all situations. Body Mass Indexis a dated, biased measure that doesn’t account for several ...
(Additional file4B). This correlation has been explained in other systems by biased codon usage toward GC-rich codons or alternatively biased gene conversion occurring more frequently in coding than in non-coding sequences [38]. In fact, an analysis of the preferred codons (i.e.,the most ...
Full size image To further investigate whether thecis-effect upon deletion of theTug1locus is more widespread, we performed RNA-seq on 6 additional tissues (prostate, spleen, eyes, heart, liver, and mouse embryonic fibroblasts (MEFs)) as well as re-analyzed an existing brain dataset from wild...
(Wolf and Wehner, 2000;Buehlmann et al., 2014) and can learn the odours of a foraging route. Foragers trained along a foraging route with an array of distinct odours, then displaced to a distant identical odour array, biased their search for the nest towards the odours, suggesting that ...
Full size image Inter-annual changes of the future large wildfires Data availability California fire perimeter data are publicly available at the GIS data portal of the California Department of Forestry and Fire Protection (FRAP,https://frap.fire.ca.gov/mapping/gis-data/). The Remote Automatic We...
When we have a model that overfits, meaning less biased and more of variance, we introduce some bias in exchange of having much less variance. One particular tactic for this task is regularization models (Ridge, Lasso, Elastic Net). These models are built to deal with the bias-variance ...