We don't yet have precise
enough measuring data to know whether ocean warming is accelerating, but it's possible based on the other impacts we're observing.
Not exact matches
The companies that do have proper security
measures will be encrypting all your sensitive
data — they convert information into a complex code that's difficult to decipher — but for privacy experts, that's not
enough.
Some bitcoin
data points seem easy
enough to
measure, but beware, there's more nuance to those numbers than you might think.
Klout has now amassed
enough data to
measure the influence of 75 million people online, and it can slice and dice these numbers.
Obviously, it will take much more time to develop
enough data to
measure the correlation.
The EU Commission is considering this last proposal, but only after new
measures on
data protection are agreed, and today's report expresses concern that the G6 proposals do not take this need for proper safeguards seriously
enough.
«Ecologists currently focus too much attention on
measuring the variation of isotope
data for consumers and their prey and not
enough attention on quantifying the interactions of consumers and their prey using isotope
data,» Hopkins explained.
Despite potential biases in the
data, methods of analysis can be used to reduce bias effects well
enough to enable us to
measure long - term Earth temperature changes.
«Using the I - score prediction framework allows us to define a novel
measure of predictivity based on observed
data, which in turn enables assessing variable sets for, preferably high, predictivity,» Lo said, adding that, while intuitively obvious, not
enough attention has been paid to the consideration of predictivity as a parameter of interest to estimate.
«Scientists expect to calculate amount of fuel inside Earth by 2025: With three new detectors coming online in the next several years, scientists are confident they will collect
enough geoneutrino
data to
measure Earth's fuel level.»
Kemp also calls the idea of a 100 - year storm a «mythical
measure», pointing out that we only have about 100 years of reliable
data to work with, which isn't necessarily
enough to reflect long - term hurricane patterns.
«We hope to take
enough data to
measure the neutrino or at least produce the world's most accurate measurement using calorimeter techniques by the end of 2017,» Tully said of the prototype.
Data shows that 1 in 3 Americans don't get
enough sleep,
measured as seven hours a night or more.
Under the NCLB Extended approach, embraced by many on the education reform / civil rights Left, achievement would continue to be
measured by proficiency rates alone (with rising annual goals for what is good
enough); growth
data would be used sparingly and / or focused on «growth to proficiency»; «other indicators of student success or school quality» would be minimized; and evidence of achievement gaps would sink schools» ratings significantly.
The council said it didn't
measure programs based on the performance of students taught by their graduates, because not
enough states gather such
data.
But it's not
enough merely to
measure effectiveness, according to many leading thinkers and policymakers; personnel decisions — from pay and promotions to layoffs and outright firings — should be based on teacher - effectiveness
data, they say.
The purveyors of «value - added
measures» claim that with
enough data over
enough time, you can control for all of those factors, but that's a serious case of ivory tower blindness.
«If each authorizer is free to interpret a broad series of multiple
measures through its own lens, they would have
enough discretion to make decisions that aren't strongly tied to
data,» CCSA said in a statement.
Bottom line, not
enough performance
data has been reported to credit bureaus to allow us to
measure the risk of borrowers who go through short sales without prior delinquencies.
The Monthly Housing Affordability Index
measures whether or not a typical family earns
enough income to qualify for a mortgage loan on a typical home at the national and regional levels based on the most recent monthly price and income
data.
If you
measure the temperature at 5.40 am and 7.40 all you have is 2
data points — not
enough to calculate a regression trend.
I'd guess that would be one good
measure of whether the stations are getting proper maintenance — if the
data analysts don't notice an oddity occurring when maintenance is done (over time, over the range of the instruments deployed) then it'd suggest that maintenance is being done often
enough by definition.
Despite potential biases in the
data, methods of analysis can be used to reduce bias effects well
enough to enable us to
measure long - term Earth temperature changes.
Now the phenomenon could be saved only in so far as they could be reduced to a mathematical order, and this mathematical operation does not serve to prepare man's mind for the revelation of true being by directing it to the ideal
measures that appear in the sensually given
data, but serves, on the contrary, to reduce these
data tot he
measure of the human mind, which, given
enough distance, being sufficiently remote and uninolved, can look upon and handle the multitude and variety of the concrete in accorance with its own patterns and symbols....
If we have prior knowledge that the real date is between 300 and 700 and if the red distribution tells the accuracy of determining the C14
data we know already before the collection of the
data that we are likely to learn essentially nothing from
measuring the C14 date, because the calibration line is close to horizontal over that range, horizontal
enough to have all possible values within a range of less than one standard deviation of the empirical accuracy.
If a frequency of sites spatially and of
data collection over time can produce
enough dynamically significant
data points to satisfy the requirements of Chaos (eg, antialiasing, bifurcation), then we can know just how badly we are
measuring the climate, and whether some currently ontic variability is really aleatory, or may be semi-deterministic in some spans and scales if only we have
enough granularity in our sampling.
Civilian GPS
data is not very accurate certainly not accurate
enough to
measure wind shear to such a high degree to enable a proxy temperature measurement to be derived.
When Descartes» analytical geometry treated space and extension, the res extensa of nature and the world, so «that its relations, however complicated, must always be expressible in algebraic formulae,» mathematics succeeded in reducing and translating all that man is not into patterns which are identical with human, mental structures... Now the phenomena could be saved only in so far as they could be reduced to a mathematical order, and this mathematical operation does not serve to prepare man's mind for the revelation of true being... that appear in the sensually given
data, but serves, on the contrary, to reduce these
data to the
measures of the human mind, which, given
enough distance, being sufficiently remote and uninvolved, can look upon and handle the multitude and variety of the concrete in accordance with its own patterns and symbols....
Now the phenomena could be saved only in so far as they could be reduced to a mathematical order, and this mathematical operation does not serve to prepare man's mind for the revelation of true being by directing it to the ideal
measures that appear in the sensually given
data, but serves, on the contrary, to reduce these
data to the
measure of the human mind, which, given
enough distance, being sufficiently remote and uninvolved, can look upon and handle the multitude and variety of the concrete in accordance with its own patterns and symbols.
Here's my concern with an Energy Balance Model, first presuming we can and are actually
measuring to the necessarily accuracy, we don't have
data for a long
enough period of time to understand if it doesn't vary with time, so even if it says there is an imbalance, that may very well be normal.
It seems that the best we can hope is for Zuckerberg to value his users» online privacy the way he values his own online privacy:
enough to make basic privacy
measures easy and readily available to them, while acknowledging that their
data will probably never be 100 percent safe in his hands.
Exclusions: unpublished literature; no antisocial behavioural outcome
measures; not
enough data to calculate effect sizes; or non-significant results.
The Monthly Housing Affordability Index
measures whether or not a typical family earns
enough income to qualify for a mortgage loan on a typical home at the national and regional levels based on the most recent monthly price and income
data.
The Housing Affordability Index
measures whether or not a typical family earns
enough income to qualify for a mortgage loan on a typical home at the national and regional levels based on the most recent monthly price and income
data.