Analyze This App Download
Maribeth Denning
Okay, I figure it out. I finally can analyze the c-family example.
The problem come from the project token.
I chose the option [Use existing token] before because it is convenient to use the same token.
I chose the other option [Generate a project token] to generate a new token.
I run the command from the website and the analysis runs successfully.
INFO: Analysis total time: 15.888 s
INFO: ------------------------------------------------------------------------
INFO: EXECUTION SUCCESS
INFO: ------------------------------------------------------------------------
INFO: Total time: 17.556s
INFO: Final Memory: 34M/128M
INFO: ------------------------------------------------------------------------
A comic situation like this depends on casting to elevate it from the environs of sitcom, and "Analyze This'' has Robert De Niro and Billy Crystal to bring richness to the characters. It also has a large, phlegmatic man named Joe Viterelli, as a bodyguard named Jelly who tries dimly to understand why the most feared criminal in America needs help from this little head doctor.
Crystal can go over the top when he needs to, but here he wisely restrains his manic side, and gets into a nice rhythm with De Niro's fearful gangster. The movie surrounds them with fairly lively violence (the shrink himself ends up in a shark tank at one point), but a lot of the mob scenes are satires of "The Godfather'' and its clones. There's even a dream sequence in which the psychiatrist imagines himself being shot in the street in exactly the same way Don Vito Corleone was in the movie, with Vitti too slow to save him. He describes the dream to Vitti. "I was Fredo?'' Vitti says. "I don't think so.'' The director and co-writer is Harold Ramis, whose work ranges from broad comedy like "Caddyshack'' to the fine-tuned observation of "Groundhog Day.'' Here he's presented with all sorts of temptations, I suppose, to overplay the De Niro character and turn the movie into an "Airplane!''-type satire of gangster movies. I think he finds the right path--allowing satire, referring to De Niro's screen past, and yet keeping the focus on the strange friendship between two men who speak entirely different languages. (When Sobol explains Freud's theory that some men subconsciously want to kill their fathers and marry their mothers, Vitti's response is to the point: "You ever seen my mother?'') A movie like this will be thought of almost entirely in terms of De Niro and Crystal, with a nod to Palminteri and Kudrow, and yet I think what holds the parts together is the unexpectedly likable character of Jelly. Joe Viterelli makes the bodyguard not just a mobster, not just a tough guy, but an older man who is weary after many years in service, but loyal and patient with his weirdo boss. As Jelly patiently pads about trying to deal with the disturbing news that his boss is cracking up and seeing a shrink, he lends a subtle dimension to the movie; he gives Vitti a context, and someone who understands him. The comedy here isn't all on the surface, and Viterelli is one reason why.
The success of "Analyze This" (1999) made "Analyze That" inevitable, but was it necessary? What seemed like a clever idea the first time feels like a retread the second, as mob boss Paul Vitti (Robert De Niro) goes back into therapy with Dr. Ben Sobel (Billy Crystal). The first film more or less exhausted the possibilities of this idea, as the second one illustrates.
"Analyze This" was never more than a sitcom, but the casting gave it an aura. De Niro as a neurotic mobster was a funny idea, and Crystal as a shrink was good casting because of his ability to seem smart even during panic attacks. Lisa Kudrow, then the shrink's girlfriend, now his wife, has a nice off-balance disbelieving way with dialogue that plays against Crystal instead of merely out-shouting him, and there was also the mammoth presence of Joe Viterelli, as Jelly, the boss' loyal chauffeur and sidekick. All of that worked the first time, and it kind of works, sometimes, in the second film. But the story has the ring of contrivance. If the first film seemed to flow naturally from the premise, this one seems to slink uneasily onto the screen, aware that it feels exactly like a facile, superficial recycling job.
As the film opens, Sobel is attending his father's funeral, but takes a cell call from Sing Sing, right there in the front row at temple. Turns out Vitti has turned goofy and does nothing all day but sing songs from "West Side Story." Is he crazy, or faking it? Whether he's faking it or not, he knows all the words. He gets no less goofy after he's released into the custody of Sobel and his wife Laura (Kudrow), and placed under their supervision--in their home. Laura hates this idea, but the FBI insists on it: Vitti's good behavior is Sobel's responsibility.
What we get in "Analyze That" are several talented actors delivering their familiar screen personas in the service of an idiotic plot. There is undeniable pleasure to be had in hearing De Niro say, yet once again, "You're good. No! You're good!" to Crystal, and watching De Niro use that beatific smile as if his character is saintly to bestow such praise (a compliment from De Niro is somewhat like being knighted). And Crystal, in this character as in life, is able to suggest that his mind runs so rapidly it spits out the truth before his better judgment can advise him. Kudrow, sadly underused here, plays not the wife who doesn't understand, but the wife who understands all too well.
Stan: We had quite a strong group of analyzer specialists in the 1960s and 1970s in our large chemical intermediates plants with continuous processes for monomers and polymers. The batch processes had fewer analyzer applications. Newer agricultural batch processes with higher value-added products had slightly more analyzers than specialty chemical batch processes. Mature batch processes relied almost entirely on lab analysis.
Greg: I just talked to an analyzer specialist at a nylon plant I supported in Florida and found that there was only one analyzer specialist left. I asked why. The remaining specialist said the number of applications has stayed about the same, but they are adequately supported by four technicians. The peak in analyzer specialists in the 1970s was the result of the need to develop, design and build analyzer systems including circuit boards. Now these analyzers are available as complete packages from analyzer suppliers with integrated smart microprocessors. Were we a special case?
Jim: Most of the mature technology today for analyzers was developed at chemical plants and refineries by the 1970s. End users designed, constructed and assembled the components, enclosures, sample systems, circuits and interfaces. The analyzer technology was subsequently licensed to today's analyzer suppliers when the process industries in the 1980s decided oil, gas and chemical production, not analyzer manufacturing was their core competency. In some cases the licensing of technology included a 50% ownership of shares in the original analyzer companies. Many of these companies were then bought by large automation system suppliers. The numbers of analyzer specialists have dramatically declined since complete packages can be purchased that are capable of being supported by technicians. One concern is that the few specialists left onsite or as retired consultants may not be around in 10 years, stifling new analyzer applications.
Jim: We had temporary relocate-able process analyzers (TRPA) that we got donated to the analyzer group from both process and pilot plants. They had been deemed not needed for the production unit after sufficient process knowledge was gained. We could trial an analyzer application for only the installation and maintenance cost. Some production units would donate an analyzer if they found they could control the process with a more common and less costly measurement, such as pressure or temperature. Some production units refused to give them up even if the information was not being used. Another source of opportunities came from process engineers who saw a need or opportunity to better control their processes and came to us for assistance.
Jim: Analyzers were needed on high-purity columns because temperature was not sensitive to the parts per million of impurities that needed to be controlled. In some cases, we were able to have several optional sample points installed that proved valuable because steady-state process simulations were not accurate enough to show the best tray for composition control. Another common application was fluidized bed reactors to optimize turnarounds for catalyst replacement. Before the analyzers were installed, the catalyst was changed out based on a time schedule, regardless of the degree of poisoning or decrease in activity of the catalyst. The result was the cost of the loss of yield and capacity when beds had unexpectedly deteriorated or the cost of catalyst and the loss of production when beds were still productive. In one case a $250K analyzer installation paid for itself in six months in cost savings.
Jim: When the sample wasn't vaporizable, had solids and bubbles, or required special sample preparation that would add excessive cost and time delay, we went for spectroscopic techniques. IR, UV and Fourier Transform Infrared (FTIR) had strong enough signals to use selective optical detectors. The weak signal from near-infrared (NIR) and Raman spectroscopy required chemometrics (data-driven multivariate statistical models), such as partial least squares or projection to latent structures (PLS) models. NIR and Raman analyzers have been developed for many applications and have the attractive feature of in situ probes advertised as eliminating the need for a sample system.
Jim: These analyzers are much more difficult to understand and troubleshoot. I can kind of explain the function of an FTIR, IR and UV analyzer to technicians in terms they can easily relate to, such as a prism separating the colors of light, a microwave cooker, etc., but when I start to talk about statistical models and billions of calculations in a NIR or Raman analyzer, eyes glaze over. The technician is almost entirely dependent upon the supplier for technical support and the analyzer specialist, as well as model support if the PLS models were developed by the supplier. The development of these models requires special expertise despite software claims to the contrary that all you need to do is feed data to get wonderful results. A graduate degree in statistical methods is often a prerequisite.
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