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Walder: Eagles -1.5. I've felt pretty great about picking the Eagles in both their games this postseason. But this time? It's close. Ultimately, I can't get past this: The Eagles' roster is just better. Defensively, their pass rush is an unrelenting force and they have the best cornerback pairing in the league. I can't stress that last part enough: No team made it tougher on opponents to get open than the Eagles, according to our receiver tracking metrics, and that's crucial against a Patrick Mahomes-led offense. Offensively, the Eagles aren't as strong as the Chiefs, but I'm confident in Philadelphia's ability to run the ball efficiently on Kansas City and pull out a win by three or four points.

Schatz: Chiefs +1.5. This matchup is so, so close, and I would prefer to play props and the total instead of picking a side in a game that's basically 50-50. But if forced to pick a side, I would go with the Chiefs. It's simply about trusting that offense is more consistent and predictable than defense, and quarterback play is the most important part of that. The Chiefs have the best quarterback in the game. That's one tiebreaker. The second tiebreaker is getting a point and a half. I doubt the game comes down to a single point, but I'd rather have that point than not. The third tiebreaker is that the extra week off before the Super Bowl enhances the things that make Andy Reid a great coach -- game-planning and player preparation -- rather than the things that make Nick Sirianni a strong coach, such as his in-game decisions.

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Fulghum: If I absolutely must pick a side, I would play the Eagles -1.5. Betting against Patrick Mahomes is never comfortable, but the Eagles' dominance on both sides of the ball, the consistent positive expected value decision-making from HC Nick Sirianni, and the injury issues for the Chiefs all point me to Philadelphia. I want to like Mahomes and the Chiefs because it's so rare to get him as an underdog, but in this case I believe it is warranted.

Walder: Under. Like I mentioned in my side pick, I think the Eagles' pass defense will be the crucial element here. If anyone can slow the Chiefs' passing attack, it's James Bradberry and Darius Slay, aided by the Haason Reddick-led pass rush up front. The Chiefs' defense has played better in the postseason, and while I think the Eagles can have success on the ground, that type of offense will churn the clock.

Schatz: Jersey number of first touchdown scorer over 11.5 (+105). Picking the under here gives you Isiah Pacheco and Jerick McKinnon for the Chiefs and A.J. Brown and DeVonta Smith for the Eagles. You also get a Jalen Hurts run. But picking the over gives you Travis Kelce, Dallas Goedert and the entire Eagles running back corps, plus the tiny chance of some sort of Patrick Mahomes scramble touchdown. I get Kelce and the Eagles' running backs and positive odds? Give me some of that, please.

In Python, how do I pick which Parent's method to call? Say I want to call the parent ASDF2's __init__ method. Seems like I have to specify ASDF1 in the super()..? And if I want to call ASDF3's __init__, then I must specify ASDF2?!

Here, you have three parents, and the next __init__ method from ASDF1's perspective is that of ASDF2. In general, the safe thing to do is to pass the first class in the inheritance list to super unless you know why you want to do something else.

When determining the Method Resolution Order (MRO) super skips the class that is passed in as its first argument, and starts looking at that class' parents and siblings. So, when you passed ASDF1 as the first argument to super(), it skipped over ASDF1 and started its search with ASDF2. That's why ASDF2's __init__ was called.

I am working with some data collected on a Krios microscope with a K3 camera. I can successfully import the collected movies, perform motion correction, and perform CTF estimation. However, when I go to manually pick particles, the micrographs are very scaled down and do not encompass the entire work space. I was still able to pick particles and make initial 2D class averages for automated particle picking, but automated particle picking was not able to successfully find the particles in the micrograph. In my previous data sets, collected on a Glacios, this was never an issue. Is there something I am missing with processing super resolution data from a K3 camera?

Sorry, I misunderstood your original issue; I thought you were able to see and manually pick particles via the interface, just not see the details due to the lack of zoom functionality. Could you reply to this post or email us at support@structura.bio with a screenshot of the web application in this state?

Here is a screenshot of what I am seeing in the web application. The micrographs are down scaled, but I can still pick particles with a box size of ~800 pixels. I can use these manually picked particles to make initial 2D class averages for automated particle picking, but that job is unsuccessful at finding my particles.

@mplockhartuom would you be able to share some of the problem data with us (movies and gain references + micrographs after motioncor2) in order to debug this? We cannot reproduce on super-res K3 data here (with or without binning). I will email you with upload credentials!

Hi @mplockhartuom and others who may be having this issue:

on our side we can reproduce this for micrographs that are externally motion corrected then imported. But if you import the raw movies into cryoSPARC and perform patch-motion (with eg. f-crop factor of 1/2), patch-CTF and then picking, everything works fine and picks show as they should

Prophetic Preseason Predictions

Prior to the 2022 NFL season premier, ESPN experts shared their predictions for the year. Reporter Jeff Darlington, analyst Keyshawn Johnson and insider Louis Riddick predicted the Chiefs would be AFC Champions and Darlington and Riddick both predicted the Chiefs would win Super Bowl LVII. Also, at that time, analyst Matt Bowen and reporter Sal Paolantonio picked Philadelphia to represent the NFC.

Image showcasing the Danny Cash bottle on a white background with a superimposed label, highlighting every aspect of the label design, presenting various elements of this vibrant and flavorful Garlic Ghost Ranch.

Buffett the manatee has accurately predicted the winner of the Super Bowl for 10 of the past 12 years at Mote Aquarium. Mote's manatee habitat is currently undergoing renovations, so another group of mammals subbed in to test their luck and "football knowledge" by making their pick for the winner of Super Bowl LIV.

The first otter to pick was Pippi, who selected the San Francisco 49ers. Next up Jane chose the Kansas City Chiefs, leaving the tie-breaking pick up to Huck. Huck dove into the water and straight into the 49ers target, settling the debate before munching on some chunks of fish and swimming away.

For the Browns to go from first-round playoff winner to Super Bowl team, Baker Mayfield's fourth season must be his best. If Mayfield kicks it up a notch, the Browns' performance in this week's draft looms as a crucial factor. Their top picks are at No. 26 and No. 59, high enough to matter.

Seldom in recent times has a team reached the Super Bowl team without conspicuous help from that year's draft. In many cases, the help has come from a high pick. In others, a draft-related trade for a veteran got some wheels turning.

Tampa Bay came of age behind Tom Brady, but the graybeard GOAT's fountain of youth was rookie first-round draft pick Tristan Wirfs. The right tackle from Iowa played 100% of the offensive snaps in all four postseason wins. Round 2 pick Antoine Winfield Jr. worked every defensive down in the Super Bowl conquest of Kansas City, delivering an interception and two passes defensed.

Kansas City was back in the Super Bowl behind Patrick Mahomes, but repeating as AFC champs had something to do with Clyde Edwards-Helaire. In the 26-17 win at Buffalo that basically secured home-field advantage, the rookie No. 32 overall pick ran for 161 yards. Rookie linebacker Willie Gay, a No. 63 overall pick, played 16 games and made eight starts.

In three key wins used to win home-field advantage throughout the 2019 playoffs, rookie No. 36 overall pick Deebo Samuel scored against Green Bay and totaled 10 catches for 178 yards on the road against New Orleans and Seattle. Rookie sixth-round pick Justin Skule replaced injured left tackle Joe Staley during a stretch when the team went 8-0. No. 2 overall pick Nick Bosa was NFL Defensive Rookie of the Year. ff782bc1db