At EaglePredict we make use of different prediction models to come up with the data we provide our subscribers. Our sole aim at is to help millions of people make more profits using the football betting tips provided by the Eagle expert tipsters.

To better predict damaging, destructive thunderstorms associated with monsoons in Arizona, Embry-Riddle Aeronautical University researchers are deploying drones and a manned airplane, each outfitted with a suite of meteorological instruments, to explore the mostly uncharted complexities of the lower-atmosphere boundary layer.


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Bold prediction: Josh Allen's interception streak will come to an end. Despite facing the team with the best record on the road, Allen's career-high seven-game stretch with at least one interception in each game will come to a close. The offense and Allen's confidence took a big step in the right direction against the Jets, and that will continue in this big game. Plus, while the Eagles' defense has plenty to give the Bills a tough day, it has recorded only five interceptions this season, tied for the second fewest in the NFL. -- Alaina Getzenberg

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Extended hot X-ray coronae have long been theorized to supply the gas necessary for star formation in disk galaxies (Spitzer 1956; White & Rees 1978). White & Frenk (1991) predicted emission levels that should have been readily detected by Chandra and XMM-Newton. The initial surprise of weak or no detection of soft X-ray emission from disk galaxies (e.g., Benson et al. 2000; Li et al. 2006) has been interpreted as a signature of superwind feedback removing gas from halos and leaving behind substantially flattened central hot gas profiles (Crain et al. 2010).

Smaller stacks including fewer galaxies should be able to test these models. We predict stacking only 30 low-mass galaxies will distinguish TNG high- and low-sSFR stacks, as well as EAGLE and TNG high-sSFR stacks from each other. This also means that our proposed experiment could bear similar results with less total integration time using 100 low-mass galaxies, perhaps as soon as the eRASS:2 (1 yr) data release.

The eRASS:8 scanning pattern will provide deeper coverage at the ecliptic poles with 550 deg2 scanned at >10 ksec; therefore, we offer predictions for the distributions of individual halo emission that eROSITA should be able to probe in these deeper regions. We rank order halos by extended emission outside r = 10 kpc (50'' at z = 0.01) in each low-mass sample, and plot the cumulative photon contribution in Figure 3. The brightest low-mass stack, TNG high-sSFR galaxies, is also the most uniformly distributed, but nonetheless both simulations predict that low-sSFR galaxies are much more dominated by outliers than their high-sSFR counterparts. We quantify the inequality of SX using the Gini statistic

We propose that extended emission in eROSITA stacks provides an effective proxy for CGM baryon content. The low-mass TNG bin has the largest difference between high and low-sSFR fCGM values (0.54 versus 0.12; D20), which primarily drives the remarkable prediction from TNG that high-sSFR galaxies should have 15tag_hash_115 greater coronal X-ray luminosity than low-sSFR galaxies of the same M*. The difference in {L}_{X,\gt 10\mathrm{kpc}} is only a factor of 2.5 for EAGLE, which reflects the narrower range of fCGM (medians of 0.29 versus 0.16 for these samples).

We perform linear regressions to produce least squares fits to {L}_{X,\gt 10\mathrm{kpc}} using fCGM and M200 in logarithmic space, and plot the results in inset panels of Figure 4 with the best-fitting linear combinations to predict simulated {L}_{X,\gt 10\mathrm{kpc}} values listed below the x-axis. The power-law exponents for fCGM range between 1.55 and 2.01, which are greater than that for M200 that range between 1.20 and 1.63. This demonstrates that extended X-ray emission is well described as a strong function of both variables with fCGM having a somewhat greater effect on average.

We develop a forward modeling pipeline that produces mock eROSITA stacked observations of X-ray emission from halos (r > 10 kpc, {n}_{{\rm{H}}}\lt 0.22\ {\mathrm{cm}}^{-3}) around central galaxies using the EAGLE and Illustris-TNG cosmological hydrodynamical simulations. Both simulations predict that the eROSITA 4 yr all-sky survey, eRASS:8, will result in the robust detection of extended, soft X-ray emission from the hot CGM in stacking analyses. Our main results are as follows.

We still have two full weeks until the first play of the Super Bowl is run, but we're taking an early look at the matchup. Brooke Pryor sets it up with what to know, and our NFL Nation reporters -- Tim McManus and Adam Teicher -- look closer at each team. Seth Walder crunches the numbers to give you some key stats to know, Matt Bowen dives into the game plan with a key matchup and Eric Moody pulls out an X factor. Dan Graziano answers big questions surrounding the final game of the season, and Jason Reid explores the quarterback matchup. And finally, we have early gut-reaction predictions from our experts. Let's dive in.

Binned values of modeled Golden Eagle nest-site density (area-adjusted frequencies; AAF) and power pole densities used to assess relative risk of electrocution. We calculated the range for each bin as equal-area quantiles of the model predictions (i.e., each bin included 1/7th or 14.3% of the study area).

The workflow of the Stochastic Soaring Raptor Simulator, with example maps illustrating the predicted overlap between likely golden eagle flight paths and wind turbine placements. Graphic by Rimple Sandhu, NREL

The team tried out a few example cases at both seasonal and hourly scales and compared simulated tracks to real eagle flight paths from GPS-tagged birds taken near three wind power plants during all four seasons in Wyoming. Although the model is two-dimensional and the observed data show vertical changes, the overlap was promising. The presence maps for migrating golden eagles clearly show a measured contrast between southern migration and northern migration for a particular power plant.

Although this model is specific to golden eagles, the authors are confident that their model can be adapted to other soaring birds or regions of interest to help install wind turbines in less risky areas and operate in ways that reduce risks to raptors.

At a recent online workshop, researchers from NREL presented new improvements to eagle models like this one and discussed next steps with stakeholders from the wind energy industry, state and federal agencies, nongovernmental organizations, and academia. 006ab0faaa

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