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The dual threat offensive production led Indianapolis to a season-high 532 offensive yards. The Jets got out to a good start as Mike White, who threw for 405 yards against Cincinnati last week, capped a 75-yard drive in the first quarter with a 19-yard scoring strike to Elijah Moore to tie the game at 7-7, but White injured his forearm on the throw and was out for the rest of the game. Josh Johnson posted some superb numbers in a relief role, going 27-for-41 for 317 yards and three touchdowns to keep New York in the contest late in the second half. New York (2-6) hosts Buffalo next week. Indianapolis (4-5) has a home matchup against Jacksonville in Week 10. Josh Johnson has three touchdown passes so far. — Indianapolis Colts (@Colts) November 5, 2021 Josh Johnson throws second touchdown pass New York’s offense is finding its rhythm, as Josh Johnson hits a 13-yard touchdown pass to Ryan Griffin to close to 42-23. — New York Jets (@nyjets) November 5, 2021 New York has the ball near midfield to start the fourth quarter.https://theathletic.com/live-blogs/jets-vs-colts-live-updates-thursday-night-football-channel-time-score-stats-news-and-highlights/lYQUwZmEmQ41/
By calculating explicitly the entropy production rate, which is possible in this simple system, the duo finds that their predicted lower bound produces a good estimate for small and intermediate entropy production rates outperforming the thermodynamic uncertainty relation. more.. Furthermore, they confirm that much larger variances can be generated with much smaller energy consumption rates if additional microscopic states are introduced. Skinner and Dunkel then apply their model to already published data on energy consumption in experimental systems ranging from gene regulatory networks to cows, where microscopic steady states are clearly out of reach. They demonstrate that a meaningful insight into the energy consumption can be obtained without an understanding of the underlying determinants of the states of these systems. Finally, they also consider data from “precise timers” that exhibit small variances in their ticks, such as heart beats. In this check here case, it is not possible to numerically estimate the entropy production rate, so Skinner and Dunkel derive an analytical expression that relates the variance in beating time to the entropy production rate in the limit of infinite precision. The duo shows that the entropic cost of maintaining a heart’s beating time decreases roughly linearly with increasing variance in the normalized waiting time distribution of the beats: Or put another way, the data imply that it is less costly to maintain the heartbeat of a young person than it is to maintain that of an old one. These examples were chosen to emphasize the ease of use of their approach to analyze experimental data and to highlight the theory’s applicability, accuracy, and its lack of assumptions on the system’s underlying microscopic states. The chosen examples also demonstrate the versatility of the model: In many systems, only the coarse-grained states can be fully characterized—the cow is either standing or lying down. The model nonetheless provides a reasonable estimate for an entropy production rate as a function of the cow’s living conditions. Thanks to the model, which performs reasonably even with limited data, it is now truly a simple exercise to obtain an estimate of the entropy production rate of a mesoscopic system.https://physics.aps.org/articles/v14/152