The 10-minute murder scene which forms the film's climax is scored with almost the whole of the Act II duet between Otello and Iago from Giuseppe Verdi's Otello. This is an atypical scoring for a film, since Verdi's piece is not an aria, but a dramatic dialogue in which the words are as important as the music. Thus the astute spectator will be presented with two dramatic narratives to follow; Allen is not respecting traditional conventions of cinematic accompaniment, since the score's events do not match the story unfolding onscreen.[8]
Christopher "Chris" Wilton: The man who said "I'd rather be lucky than good" saw deeply into life. People are afraid to face how great a part of life is dependent on luck. It's scary to think so much is out of one's control. There are moments in a match when the ball hits the top of the net, and for a split second, it can either go forward or fall back. With a little luck, it goes forward, and you win. Or maybe it doesn't, and you lose.
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Without saying why, let me say that fear also enters into the equation. In a moral universe, it would be joined by guilt, but not here. The fear is that in trying to satisfy both greed and lust, a character may have to lose both, which would be a great inconvenience. At one point this character sees a ghost, but this is not Hamlet's father, crying for revenge; this ghost drops by to discuss loopholes in a "perfect crime."
On the other hand- it can be considered a glorified dice-roll, where the best teams may end up losing to a less consistent team by nature of a fluke performance. A team with 120 points could end up losing to a team with only 65 points. It also opens the door for intentional griefing- where teams can choose to "team up" and target those who are on "Match Point" to prevent them from winning. Is this strategy, or unsportmanlike play, or both?
In my opinion, if teams are being given a 10 point advantage going into finals- then "Match Point" should be raised to something like 75 or 80, which would hopefully extend the tournament a few more games.
For small scratches, flat acrylic paint matched in the same color can be used to cover up any scuffs or stains. You would simply dab the affected area with the flat paint. You can always recoat the entire wall with the Lime Wash finish to attempt to cover up something larger than a small scratch or scuff.
The AVCA Match Point Mentoring Program is designed to match AVCA member coaches with a mentor or a mentee in the volleyball community. Match Point provides a platform for experienced coaches to share their knowledge and talents and offers mentees opportunities for career and personal growth. To ensure the success of the program, each pair is assembled individually based on needs, experiences, and specific preferences.
Our platform provides the tools for you to find, communicate and transact with talent. With Matchpoint, you have access to features including: auto-generated contracts, real time notifications, secure payment processing software and automatic financial and tax documents. Designed simple, yet sophisticated.
Donors + fans are forming collectives at universities across the country, pooling funds annually for NIL offers. We provide third party separation and the technology to manage collectives and lower administrative costs. Our platform automatically documents all data points required by the NCAA, reports the transaction to the university, and generates financial receipts + 1099s to athletes. We act as a facilitator, allowing for deal organization and payment processing.
This product was gifted by MiniLuxe in exchange for an honest review. This is the smoothest nail polish I have ever used. It goes on so seamlessly- no streaks or transparency. The color is a beautiful green with just the right hue to match so many outfits or accessories.
The Quickie Match Point is just what every tennis player has been looking for; it delivers mobility and stability in one. With the stability of 5 wheels and our center mass adjustments, usual distractions of positioning and movement are eliminated, allowing you to focus on winning the match.
Matchpoint Table Tennis Center is the newest professional table tennis academy in New Jersey. It is owned by Coach Li, a former Chinese national team member and current U.S. National Coach. He and his coaching team have the distinction of training seven U.S. National team members, the North America junior boys champion, the U.S. Open junior team and Hopes girls champion.
Matchpoint coaching team offers private and group training for all age groups, league play for several playing levels, and open play for recreational players. We will also conduct training camps during school breaks and summer.
Elina Svitolina, of Ukraine, reacts during a match against Anastasia Pavlyuchenkova, of Russia, during the second round of the U.S. Open tennis championships, Thursday, Aug. 31, 2023, in New York. (AP Photo/Manu Fernandez)
Ons Jabeur, of Tunisia, reacts during a match against Noskova, of the Czech Republic, at the second round of the U.S. Open tennis championships, Thursday, Aug. 31, 2023, in New York. (AP Photo/Frank Franklin II)
His resume is filled with comebacks after being a point from elimination, perhaps none more famous than against Roger Federer at both the U.S. Open and at Wimbledon. This season, Djokovic has won two titles after averting a match point, including when he edged Carlos Alcaraz at the Cincinnati Masters last month.
I used to play tennis regularly when I was a teenager. I would train three times a week for two hours, and play competitively on the weekends. One of my favorite aspects of the game was the almost ceremonial routine that precedes every match. Every week, I would place my tennis bag in the same spot next to me, take out one racket, take off the old grip, put on a new one, pluck the strings until each was parallel to the ones on either side, take a sip of water, and then, just before heading onto the court, I would take off my watch.
The HyperChrome Automatic Chronograph Match Point is limited to 999 pieces, and is priced at $4,800. Of course, it faces some pretty stiff competition from other chronographs at that price point, not to mention coming up against smart watches, which have conquered the wrists of many athletes, including the tennis player coaching Rado's guests. But when it comes to mechanical timepieces, this is a truly credible sports watch.
Matchpoint leverages a novel labeling technology to probe deeper into the proteome than historically possible to identify new binding sites on disease-causing proteins and to scan for proteome-wide selectivity of drug candidates across all stages of drug discovery. We deploy our high throughput cellular screening methods to prospect for selective binders in two complementary ways:
Matchpoint is building a proprietary library of covalent compounds that range from fragments, which maximize the probability of identifying hits against cryptic pockets, to lead-like and drug-like compounds that require far less time and fewer resources to advance to the clinic.
Matchpoint brings together passionate drug hunters, deep technical experts, and seasoned company builders unified by the goal of developing precision covalent medicines that transform the lives of those impacted by serious disease.
There are a lot of questions here about matching points in polygons efficiently (examples: Here and Here). The primary variables of interest in these are high number of points N, and number of polygon vertices V. These are all good and useful, but I am looking at a high number of points N and polygons G. This also means that my output will be different (I've primarily seen output consisting of the points that fall inside a polygon, but here I'd like to know the polygon attached to a point).
I have a shapefile with a large number of polygons (hundreds of thousands). Polygons can touch, but there is little to no overlap between them (any overlap of interiors would be a result of error - think census block groups). I also have a csv with points (millions), and I would like to categorize those points by which polygon the point falls in, if any. Some may not fall into a polygon (continuing with my example, think points over the ocean). Below I set up a toy example to look at the issue.
I now want to match points with the polygons. So The desired output would be an additional column in gdf_points with an identifier for which polygon the point is associated with (using the gdf_polys['id'] column). My very slow code, which produces the correct result is below:
Beginning benchmarking:With a grid size of 10, point density of 10 (1440 points): took about 180msWith a grid size of 20, point density of 10 (4840 points): took about 2.8sWith a grid size of 30, point density of 10 (10240 points): took about 12.8sWith a grid size of 50, point density of 10 (27040 points): took about 1.5 minsSo we can see this scales poorly. 2351a5e196
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