Income and transaction data are for 2010, while
other data represent member characteristics in early 2011.
Well, it seems that the ACT report card and
the other data represent a validation of educator performance independent of the dreaded and vilified TAKS and STAAR assessments, including the significant disconnect with the graduation statistics.
By modeling metadata fields into an ontology - based semantic framework and reusing existing ontologies and minimum information checklists, the application standard can be extended to support additional project - specific data fields and integrated with
other data represented with comparable standards.
Not exact matches
«It
represents two extremely polarized and separate networks that are not talking to each
other,» said Gilad Lotan, chief
data scientists at Betaworks, who presented the graphic last week at Columbia University Graduate School of Journalism.
The number of people who had messages taken is a small portion of the estimated 87 million users whose
data was exposed, but it
represents a much more intrusive collection than the page likes, birthdays, locations, and personality traits and so forth that were taken from
other profiles.
However, PwC's
data reinforces that smart speakers and
other ambient voice assistant access points are popular and currently
represent the driving force behind voice assistant adoption.
The
data published today
represents aggregated
data collected from the Bank of England (BoE) and seven
other custodians that offer vaulting services, and covers end - period holdings of gold and silver from July 2016 to March 2017.
Consider the following: in the five years going from 2008 to 2012 inclusive, UK government receipts from taxation on petroleum exploration and production activities came to # 44.62 billion,
representing an average ETR of 27 per cent on a gross industry income of # 165 billion (the fiscal years of
other North Sea producers run concurrently with calendar years, so UK fiscal
data has to be annualised to make it properly comparable to that of
other North Sea producers).
The working group hopes
other institutions will join their efforts, but trainees should know that some universities, including several of those
represented in the working group, already share their
data publicly, Pickett says.
Susan Alberts of Duke University and
others examined long - term field
data from several species
representing numerous branches of the primate family tree.
The Office of Research Integrity (ORI) of the Department of Health and Human Services found that Mayack used images from
other publications to «falsely
represent» her own and mislabeled
data in both papers.
But it will eventually lead to a highly augmented way to navigate, based on a hidden world of
data representing the emotions, movements and actions of
other people.
Muotri noted that the research
represents one of the first efforts to use iPSCs and brain in - a-dish technology to generate novel insights about a disease process and not simply replicate
data from
other models.
Clean development mechanism
data points
represent individual clean development mechanism projects; all
other market
data is monthly trading volumes and weighted prices.
The simulation was visualized with a video made by combining millions of points
representing numerical
data about density, gravitational fields, and
other properties of the gases that make up the collapsing stars.
The practice of science, which includes the packaging of findings from science for use in the public - policy arena, is governed by an unwritten code of conduct that includes such elements as mastering the relevant fundamental concepts before venturing into print in the professional or public arena, learning and observing proper practices for presenting ranges of respectable opinion and uncertainty, avoiding the selection of
data to fit pre-conceived conclusions, reading the references one cites and
representing their content accurately and fairly, and acknowledging and correcting the errors that have crept into ones work (some of which are, of course, inevitable) after they are discovered by oneself or by
others.
This HDG genome
represented the most complete de novo genome assembly to date, and with
other omics
data resources available from this individual, the work can be used as a benchmark for developing new sequencing and assembly techniques, and for functional studies involving RNA or protein analysis.
His approach is to develop algorithms and
data structures for
representing and detecting simple and complex genetic variation without using a reference genome - in essence a sample is viewed in the context of all
other genomes in that species, rather than comparing with one exemplar (the «reference»).
By submitting User Materials to or using the Site, you
represent that you have the full legal right to provide the User Materials, that such User Materials will not: (a) divulge any protected health information or infringe any intellectual property rights of any person or entity or any rights of publicity, personality, or privacy of any person or entity, including without limitation as a result of your failure to obtain consent to post personally identifying or otherwise private information about a person or which impersonates another person; (b) violate any law, statute, ordinance, or regulation; (c) be defamatory, libelous or trade libelous, unlawfully threatening, or unlawfully harassing or embarrassing; (d) be obscene, child pornographic, or indecent; (e) violate any community or Internet standard; (f) contain any viruses, Trojan horses, worms, time bombs, cancelbots, or
other computer programming routines that damage, detrimentally interfere with, surreptitiously intercept, or expropriate any system,
data or personal information, or that facilitate or enable such or that are intended to do any of the foregoing; (g) result in product liability, tort, breach of contract, personal injury, death, or property damage; (h) constitute misappropriation of any trade secret or know - how; or (i) constitute disclosure of any confidential information owned by any third party.
In fact, it would be very interesting — even with noted survey differences in mind — to see how Common Core's Champions and Dissidents are
represented based on
others» survey
data.
Each question is levelled according to National Curriculum criteria, getting gradually harder and requiring students to demonstrate knowledge of basic formatting, Formulas, Functions, SUM, Sorting and Filtering
data, Conditional formatting, CountIF, referencing
other sheets, Conditional IF statements and finally adding charts to
represent data at Level 7 standard.
Computational thinking: A problem - solving process that includes, but is not limited to, the following characteristics: formulating problems in a way that enables us to use a computer and
other tools to solve them; logically organizing and analyzing
data;
representing data through abstractions such as models and simulations; automating solutions through algorithmic thinking (a series of ordered steps); identifying, analyzing and implementing possible solutions with the goal of achieving the most efficient and effective combination of steps and resources; and generalizing and transferring this problem - solving process to a wide variety of problems.
Data that are gathered and aggregated by units such as nations, states, provinces, counties, or
other regions, can be
represented in that area (or polygon) in a digital map.
Numerous provisions contained in S. 1177
represent a huge step forward from current legislation: the elimination of adequate yearly progress and the 100 percent proficiency requirements, tempering the test - and - punish provisions of No Child Left Behind; the continued requirement of disaggregated subgroup
data; removal of the unworkable school turnaround models required under the School Improvement Grant and Race to the Top programs; clarification of the term school leader as the principal of an elementary, middle or high school; inclusion of the use of Title II funds for a «School Leadership Residency Program»; activities to improve the recruitment, preparation, placement, support, and retention of effective principals and school leaders in high - need schools; and the allowable use of Title II funds to develop induction and mentoring programs that are designed to improve school leadership and provide opportunities for mentor principals and
other educators who are experienced and effective.
The Bridge to Completion research centers on the analysis of multiple
data sets, including comparing similar schools and
other large, urban districts as well as national
data, and interviewing 50 - plus professionals
representing the school district, community - based organizations, higher education and nationally recognized college access.
Washington, DC — New Leaders believes the U.S. Department of Education's final regulations regarding the accountability,
data reporting, and state plan provisions of the Every Student Succeeds Act (ESSA)
represent a balanced approach to supporting states and districts to implement locally - developed, evidence - based accountability systems and school improvement solutions in partnership with educators, families, and
other stakeholders.
Others may have trouble with
representing their
data in both types of graphs.
Among
other things, GAO analyzed disclosures from popular cards; obtained
data on rates and fees paid on cardholder accounts from 6 large issuers; employed a usability consultant to analyze and test disclosures; interviewed a sample of consumers selected to
represent a range of education and income levels; and analyzed academic and regulatory studies on bankruptcy and card issuer revenues.
Additional competitors include CRIF and
other credit reporting agencies outside the U.S., and
other data providers like LexisNexis and ChoicePoint, some of which also
represent FICO partners.»
I recently pulled the numbers, and with the combined
data of 65 agencies
representing over 186,500 cats, we found that black cats are adopted more than any
other color.»
In addition to being a treasure trove of
data, this archive
represented a great opportunity for me to begin establishing standards for source code archival, curating practices, tool dependency tracking, and a lot of
other process - oriented things at the VGHF.
So in summary, PC selection is a trade off: on one hand, the goal is to capture as much variability of the
data as
represented by the different PCs as possible (particularly if the explained variance is small), while on the
other hand, you don't want to include PCs that are not really contributing any more significant information.
In
other words, the results presented in «Climate change, impacts and vulnerability in Europe 2016»
represent uncertain estimates due to the reliance on a limited set of
data.
For the
data contained in Figure 2 can be compared against all
other determinations of Antarctica's temperature history, over any subperiod of interest, and
represents a spatial scale that you are comfortable with.
In Kloosterman's words, he
represents the «democratization of information,» because he enables growers to connect with
other growers nearby, receive tailored advice for their gardens, and access the crowd - sourced
data that's added via forums and passive collection.
Palaeoclimatologists are confident that the width of tree rings reliably
represents real temperatures because they tally with
data from thermometers and
other instruments taken since the nineteenth century.
I suppose someone has already mentioned this, but just in case: Even if you allow the BPs, foxtails and
other questionable series to be included in the reconstructions, the fact that they ALONE impart a hockey stick curve to otherwise relatively trendless
data PROVES that the reconstructions do not
represent the NH, let alone the global trend.
Proxy temperature reconstructions require careful scrutiny because the proxies are not direct temperature measurements, but
represent other data and factors that may or may not have a close correlation with past temperatures.
The blue and gray fuzz around the hockey stick graph
represents data from various
other sources, afaik.
There are, however, caveats: (1) multidecadal fluctuations in Arctic — subarctic climate and sea ice appear most pronounced in the Atlantic sector, such that the pan-Arctic signal may be substantially smaller [e.g., Polyakov et al., 2003; Mahajan et al., 2011]; (2) the sea - ice records synthesized here
represent primarily the cold season (winter — spring), whereas the satellite record clearly shows losses primarily in summer, suggesting that
other processes and feedback are important; (3) observations show that while recent sea - ice losses in winter are most pronounced in the Greenland and Barents Seas, the largest reductions in summer are remote from the Atlantic, e.g., Beaufort, Chukchi, and Siberian seas (National Snow and Ice
Data Center, 2012, http://nsidc.org/Arcticseaicenews/); and (4) the recent reductions in sea ice should not be considered merely the latest in a sequence of AMOrelated multidecadal fluctuations but rather the first one to be superposed upon an anthropogenic GHG warming background signal that is emerging strongly in the Arctic [Kaufmann et al., 2009; Serreze et al., 2009].
That is, all the
data points except the extremes are
represented 12 times, and the extreme results (2009 is much warmer than the
other years) are less
represented.
So when I wrote «That is, all the
data points except the extremes are
represented 12 times, and the extreme results (2009 is much warmer than the
other years) are less
represented.»
While I have my own nuances on the topics Dr. Lindzen best
represents my views on why these topics are a waste of time (while I still respect the exercise of M&M and
others concerning the abuse of these records and
data);
Counters: «Once the model finishes producing the
data representing how radiative forcing has changed over time, we can then go back and analyze that
data to see how the climate system in terms of temperature and
other factors will change based on empirical relationships between atmospheric factors and changes in temperature.»
Once the model finishes producing the
data representing how radiative forcing has changed over time, we can then go back and analyze that
data to see how the climate system in terms of temperature and
other factors will change based on empirical relationships between atmospheric factors and changes in temperature.
If the actual temperature as
represented by mesurement A is just as likely to be too high as too low then the
data is unbiased and we can average it with
other measurements and, given enough such measurements we can even come up with averages of greater accuracy than the individual measurements (though that's tricky and requires further examination of what sort of unbiasness we're dealing with.)
Misrepresentation of statistics leads to incorrect conclusions, and «contamination» by external factors caused the
data to
represent aspects
other than those under investigation.
Otherwise it is just as valid to claim that the increasing trend in UK marriages (say) between 1900 and 1970 (again, for example) can be calibrated against some
other set of
data and hence
represents a valid temperature proxy.
If the dates come out a bit forward or backward of each
other, the timing of the peaks and valleys don't line up as they should — based on the reality the
data was trying to
represent: the temperature.
Other reconstructions can be considered to
represent what are essentially intermediate applications between these two approaches, in that they involve regionalisation of much of the
data prior to the use of a statistical transfer function, and so involve fewer, but potentially more robust, regional predictors (Briffa et al., 2001; Mann and Jones, 2003; D'Arrigo et al., 2006).