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Benjamin Franklin once said: "Those who would give up essential Liberty, to purchase a little temporary Safety, deserve neither Liberty nor Safety." That quote often comes up in the context of new technology and concerns about government surveillance. Benjamin Wittes, a senior fellow at the Brookings Institution and the editor of Lawfare, tells NPR's Robert Siegel that it wasn't originally meant to mean what people think.
Terminals have a special place in computing history, surviving along with the command line in the face of the rising ubiquity of graphical interfaces. Terminal emulators have replaced hardware terminals, which themselves were upgrades from punched cards and toggle-switch inputs. Modern distributions now ship with a surprising variety of terminal emulators. While some people may be happy with the default terminal provided by their desktop environment, others take great pride at using exotic software for running their favorite shell or text editor. But as we'll see in this two-part series, not all terminals are created equal: they vary wildly in terms of functionality, size, and performance.
March 30, 2018
This article was contributed by Antoine Beaupré
http://sci-hub.tw/http://dx.doi.org/10.1016/j.cell.2015.11.001
Personalized Nutrition by Prediction of Glycemic Responses.
Zeevi D1, Korem T1, Zmora N2, Israeli D3, Rothschild D1, Weinberger A1, Ben-Yacov O1, Lador D1, Avnit-Sagi T1, Lotan-Pompan M1, Suez J4, Mahdi JA4, Matot E1, Malka G1, Kosower N1, Rein M1, Zilberman-Schapira G4, Dohnalová L4, Pevsner-Fischer M4, Bikovsky R1, Halpern Z5, Elinav E6, Segal E7.
Author information
Abstract
Elevated postprandial blood glucose levels constitute a global epidemic and a major risk factor for prediabetes and type II diabetes, but existing dietary methods for controlling them have limited efficacy. Here, we continuously monitored week-long glucose levels in an 800-person cohort, measured responses to 46,898 meals, and found high variability in the response to identical meals, suggesting that universal dietary recommendations may have limited utility. We devised a machine-learning algorithm that integrates blood parameters, dietary habits, anthropometrics, physical activity, and gut microbiota measured in this cohort and showed that it accurately predicts personalized postprandial glycemic response to real-life meals. We validated these predictions in an independent 100-person cohort. Finally, a blinded randomized controlled dietary intervention based on this algorithm resulted in significantly lower postprandial responses and consistent alterations to gut microbiota configuration. Together, our results suggest that personalized diets may successfully modify elevated postprandial blood glucose and its metabolic consequences. VIDEO ABSTRACT.
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ClinicalTrials.gov NCT01892956.