Sentences with phrase «at least a large series»
It's 100 % ontopic, though I'm afraid a GOOD answer may require a book or at least a large series of articles.
https://politics.stackexchange.com/ Not exact matches
The project is detailed in the contract as a seven step process — with Kogan's company, GSR, generating an initial seed sample (though it does not specify how large this is here) using «online panels»; analyzing this seed training data using its own «psychometric inventories» to try to determine personality categories; the next step is Kogan's personality quiz app being deployed on Facebook to gather the full dataset from respondents and also to scrape a subset of data from their Facebook friends (here it notes: «upon consent of the respondent, the GS Technology scrapes and retains the respondent's Facebook profile and a quantity of data on that respondent's Facebook friends»); step 4 involves the psychometric data from the seed sample, plus the Facebook profile data and friend data all being run through proprietary modeling algorithms — which the contract specifies are based on using Facebook likes to predict personality scores, with the stated aim of predicting the «psychological, dispositional and / or attitudinal facets of each Facebook record»; this then generates a series of scores per Facebook profile; step 6 is to match these psychometrically scored profiles with voter record data held by SCL — with the goal of matching (and thus scoring) at least 2M voter records for targeting voters across the 11 states; the final step is for matched records to be returned to SCL, which would then be in a position to craft messages to voters based on their modeled psychometric scores.
These series, which are in far more advanced stages, including pre-production and production, all are proceeding as planned, at least for now, as most already have contracted large casts and crews.
The 3 largest case series of infants with microcephaly also reporting congenital contractures found that, among 35, 48, and 52 infants with microcephaly and presumed congenital ZIKV infection, isolated clubfoot occurred in 14 %, 10.4 %, and 3.8 % and arthrogryposis in 11 %, 10.4 %, and 5.7 %, respectively.36 - 38 Among a series of 104 infants under clinical investigation, 7 (6.7 %) with presumed (5 infants) and laboratory - confirmed (2 infants) congenital ZIKV infection had arthrogryposis; 6 of these infants had a head circumference of at least 2 SD below the mean.41 All had bilateral congenital hip dislocation, which previously has been reported to occur in 30 % to 40 % of children with arthrogryposis of various etiologies and 3 of 7 had dislocation or partial dislocation of 1 or both knees.41, 57
The series has at least so far failed to find a large audience, indicating perhaps how much we have come to take good serial drama for granted.
Escape Plan is at least a couple of decades too late to bring in the once - large fan - bases of Stallone and Schwarzenegger, formerly the biggest action stars of their 1980s and early 1990s, working here together for the first time in a significant way (the miniscule part Arnie played in the Expendables series hardly counts).
However, one of the largest attractions to the series, for me at least, is the chance to play as those oft - forgotten characters.
The heavier weight of the 4 Series platform keeps overall performance down compared to the 2 Series, but at the very least there's a larger back seat to take advantage of.
The large increase in total highlights without a similar increase in unique highlights likely indicates that more people are reading the first book than the rest of the series, or at the very least, they lose enthusiasm after the first book.
Unsurprisingly, a very large number of these series have failed to find an audience: roughly a quarter (25) were canceled with 10 or fewer issues published; at least another seven books (7 percent) launched in late - 2016 / early - 2017 appear to be very likely to meet the same fate, even if their cancellation has not yet been formally announced.»
This is most effective if there is a large back catalog (I would say at least 3 books in the series).
I'd already decided I wanted to self - publish the Lady Raven books, so I made the follow - up decision that I would also work on an all - new series that I could use to find an agent and a deal with a larger publisher, or one at least closer to home.
The largest revenue earning Franchise of the Rockstar Games is Grand Theft Auto series which alone has sold at least 250 million as of November 2016.
Ross Chisholm's new series of large - scale paintings are (at least in the essential moment of this contemporary artist standing in front of his...
To point out just a couple of things: — oceans warming slower (or cooling slower) than lands on long - time trends is absolutely normal, because water is more difficult both to warm or to cool (I mean, we require both a bigger heat flow and more time); at the contrary, I see as a non-sense theory (made by some serrist, but don't know who) that oceans are storing up heat, and that suddenly they will release such heat as a positive feedback: or the water warms than no heat can be considered ad «stored» (we have no phase change inside oceans, so no latent heat) or oceans begin to release heat but in the same time they have to cool (because they are losing heat); so, I don't feel strange that in last years land temperatures for some series (NCDC and GISS) can be heating up while oceans are slightly cooling, but I feel strange that they are heating up so much to reverse global trend from slightly negative / stable to slightly positive; but, in the end, all this is not an evidence that lands» warming is led by UHI (but, this effect, I would not exclude it from having a small part in temperature trends for some regional area, but just small); both because, as writtend, it is normal to have waters warming slower than lands, and because lands» temperatures are often measured in a not so precise way (despite they continue to give us a global uncertainity in TT values which is barely the instrumental's one)-- but, to point out, HadCRU and MSU of last years (I mean always 2002 - 2006) follow much better waters» temperatures trend; — metropolis and larger cities temperature trends actually show an increase in UHI effect, but I think the sites are few, and the covered area is very small worldwide, so the global effect is very poor (but it still can be sensible for regional effects); but I would not run out a small warming trend for airport measurements due mainly to three things: increasing jet planes traffic, enlarging airports (then more buildings and more asphalt — if you follow motor sports, or simply live in a town / city, you will know how easy they get very warmer than air during day, and how much it can slow night - time cooling) and overall having airports nearer to cities (if not becoming an area inside the city after some decade of hurban growth, e.g. Milan - Linate); — I found no point about UHI in towns and villages; you will tell me they are not large cities; but, in comparison with 20-40-60 years ago when they were «countryside», many small towns and villages have become part of larger hurban areas (at least in Europe and Asia) so examining just larger cities would not be enough in my opinion to get a full view of UHI effect (still remembering that it has a small global effect: we can say many matters are due to UHI instead of GW, maybe even that a small part of measured GW is due to UHI, and that GW measurements are not so precise to make us able to make good analisyses and predictions, but not that GW is due to UHI).
Each of the various alternative versions where these sub-networks of proxy data have been excluded fall almost entirely within the uncertainties of the full reconstruction for at least the past 1100 years, while larger discrepancies are observed further back for the reconstruction without either tree - ring data or the 7 series in question, owing to the extreme sparseness of the resulting sub-network.
The project is detailed in the contract as a seven step process — with Kogan's company, GSR, generating an initial seed sample (though it does not specify how large this is here) using «online panels»; analyzing this seed training data using its own «psychometric inventories» to try to determine personality categories; the next step is Kogan's personality quiz app being deployed on Facebook to gather the full dataset from respondents and also to scrape a subset of data from their Facebook friends (here it notes: «upon consent of the respondent, the GS Technology scrapes and retains the respondent's Facebook profile and a quantity of data on that respondent's Facebook friends»); step 4 involves the psychometric data from the seed sample, plus the Facebook profile data and friend data all being run through proprietary modeling algorithms — which the contract specifies are based on using Facebook likes to predict personality scores, with the stated aim of predicting the «psychological, dispositional and / or attitudinal facets of each Facebook record»; this then generates a series of scores per Facebook profile; step 6 is to match these psychometrically scored profiles with voter record data held by SCL — with the goal of matching (and thus scoring) at least 2M voter records for targeting voters across the 11 states; the final step is for matched records to be returned to SCL, which would then be in a position to craft messages to voters based on their modeled psychometric scores.