Sentences with phrase «robust data which»

This has the benefit of it using simpler more robust data which can be sensibly used pre-1950 with more confidence.

Not exact matches

To do this, you can utilize robust tools like the one Mitul's group offers, or for those that don't have the budget, you can analyze your Google Analytics data, which is free to use.

This robust downward trend has recently been confirmed by yet another data point from Deloitte, which reported that Pharma's IRR fell to a new record low of just 3.2 % in 2017.

We are also announcing an expansion of the PTO Edison Scholars Program, which will bring distinguished academic experts to the PTO to develop — and make available to the public — more robust data and research on the issues bearing on abusive litigation.

Indeed, this mirrors other data, which have found Americans more skittish about spending in the early months of 2018 in the aftermath of more robust purchasing at year's end.

Moreover, Dbrain has a robust community, in which users of the network — a diverse ecosystem of data providers and scientists, crowdworkers, application developers, and businesses — can communicate and interact with each other.

Scientists from the Biogerontology Research Foundation (BGRF), a UK - based charity founded to support aging research and address the challenges of a rapidly aging population, propose a new concept for signalome - wide analysis of changes in intracellular pathways, called OncoFinder, which allows for accurate and robust cross-platform analysis of gene expression data.

These data are providing us with robust evidence about the location and extent of designated features such as cold - water coral habitats, which will enable us to make informed decisions about future site management.»

The results, recently published in IEEE Robotics and Automation Letters, show that the algorithm can plan vehicle paths that are more energy efficient than ones planned by existing methods, and that it's robust enough to deal with environments for which not much data is available.

This study also provides robust data for third - party payers or government agencies in an era in which physician performance metrics require valid risk adjustment before being used for reimbursement and quality initiatives.

In collaboration with Dr. Josh Thaden and Vance Fowler, Duke University Medical Center, we are exploring relationships between bacterial genetic variation, emergence of AMR, and patient outcome in Enterobacter and Escherichia coli Bloodstream Infections (BSI) by leveraging the Duke University Bloodstream Infection Biorepository (BSIB), which contains robust clinical data, bacterial bloodstream isolates, and corresponding human sera and DNA from over 2000 patients with BSI caused by Gram - negative bacteria at Duke Hospital since 2002.

This investment with the SFI Research Centre IPIC will enable us to combine our expertise and utilise Tyndall's state of the art facilities to develop ground breaking early stage technologies, which will not only have a huge impact on the future architecture design of large data centres, but will also improve the power and computational capacity of new consumer devices and provide robust sensing solutions in the autonomous vehicles and consumer device sectors as well as others.

The data is still to come showing whether PCSK9 inhibitors have the same risk - lowering effect, as opposed to their effects on LDL cholesterol, which are robust.

Acquiring clearer, more robust data signals through neural probes is important for development of the CSNE's bi-directional brain - computer interface, which is envisioned to act as a neural bridge between the brain, spinal cord and injured areas of the body.

And the introduction of new international energy management standards like ISO 50001 and the International Performance Measurement and Verification Protocol (IPMVP), which rely heavily on verifiable and robust data collection are opening up new avenues for further innovation and development of aM & T.

This report brings data from the newly - released 2016 National Survey of Children's Health (NSCH) to the robust policy and research debate over the extent to which differences in aggregate special education participation rates over racial and ethnic groups represent differences in underlying needs for special education.

In addition schools need to ensure that it has proper organisational and technical measures and policies in place to keep personal data safe and secure — having a robust information security policy which is actually adhered to throughout the business is part of this.

The methods used, however, are far more robust than the ways in which Schneider's organization is patching together data from U.S. states and international assessments to suggest to states that they can pass over a process of thorough international benchmarking.

«The political landscape of our legislature indicated that we would have to provide more robust data around teacher effectiveness, which we would have to gather in a laborious way.»

The program's robust data tools also enabled Marlboro teachers to see exactly which areas students needed extra help with.

The data also affirm the continued robust growth of the charter sector, which served fewer than 3,600 students in the 1998 - 99 academic year.

Additional data from interviews and observations over the course of the class might have yielded a more robust understanding of how these enhancements impacted the ways in which teachers worked in the course and made it possible to begin to develop hypotheses about ways in which teachers develop content knowledge on geology in online classes and how course design can best support it.

«We applaud the Department of Education for continuing its emphasis on robust civil rights data collection, which helps to identify our nation's gaps in educational opportunity,» Henderson said.

Establishing the extent to which aspects of policy or practice with regard to data use seem to have positive impacts in contexts in different countries, is important for the development of robust theories on data use, and the factors supporting or hindering this practice, as well as for the improvement of provision.

One such challenge was significant limitations regarding the underlying validity of the data that were to inform judgments about performance and accountability, which corresponded with a less than robust picture of the meaningful steps that should then be taken to improve systems and yield better student learning and outcomes.

We only have two years of performance data for the new accountability measures, which is insufficient to make a robust judgment.

The researchers looked at children in Florida, which has a robust data set on its students and a Sept. 1 cut - off date for children to enroll in kindergarten.

If you can't be bothered to lift a finger, there's also intelligent voice control, which links with the onboard data and MMI navigation systems for more robust phrase recognition.

A lack of empirical data has deprived policymakers of a robust evidence base on which to make informed decisions.

consumer screening (which will prohibit providers from enrolling consumers before determining that the debt settlement program is suitable for the consumer and ensure that the consumer is likely to derive a net financial benefit from participating); and 4) robust data reporting (which will allow for monitoring and oversight of the industry).

There's a scientific term for results which are so strong and so resistant to changes in data and methods: robust.

In the end, I would hypothesize that the result of the freeing of data and code will necessarily lead to a more robust understanding of scientific uncertainties, which may have the perverse effect of making the future less clear, i.e., because it will result in larger error bars around observed temperature trends which will carry through into the projections.

The differences between the quadratic acceleration numbers come from differences in the decadal to multidecadal variability in the curves which I don't consider very robust (we have shown in Rahmstorf et al. 2012 how strongly these can be affected by a small amount of «noise» in the sea - level data).

S1 which removed alternatively (a) all tree - ring data or (b) 7 additional long - term proxy records associated with greater uncertainties or potential documented biases (showing the temperature reconstruction was robust to removal of either of these datasets), we here removed both data sets simultaneously from the predictor network (Fig.

In a more conventional field, in which highly technical papers were published in professional journals rather than Nature or Science, the paper would be read by the few experts, who over the next few years would try to understand what it all means, whether it is really new, what the weaknesses might be, do their own analyses to see how robust the results are, and ask if there are conflicting data sets.

To estimate robustly where the maximum is, you can calculate an expected value of the latitude using a high power of the precipitation distribution as the weighting function; gives the maximum, but gives a robust estimate in practice, which smooths over the discretization of the data.

Amazingly enough, Mann now admits his original hockey stick existed solely because of «one set of tree ring records,» directly contradicting his 1998 paper which said the reconstruction was «relatively robust to the inclusion of dendroclimatic indicators» (dendroclimatic indicators are tree ring data).

Better policies could be supported by better data collection, it added, with more robust statistics on the extent to which communities depend on forests.

the the results of Manns analysis are in relation to the inclusion or exclusion of any data set using any normal method of analysis, unless the data is enhanced by the Mannian data mining technique, in which case the results will appear robust because any / all data sets will produce a hockey stick.

Electrify America, which is building a robust national charging network and increasing electric vehicle awareness across the United States (earlier post), has issued a call for comments, proposals and recommendations that provide guidance and data to help guide the company's next set of Zero Emission Vehicle (ZEV) investments in California... Read more →

For example, one can check how robust the trend is to such things as changing the start or end years by one or two years, changing which data set you use (GISS or HADCRUT, for example), or eliminating one year of data.

-- Projections are available (which are only as good as the assumptions, which were made leading to these projections), but these do not even show robust agreement across models and, more importantly, have not been validated against actual empirical data.

Dr. Mauri Pelto: This is a very short term data set, which means it is not robust.

At first glance they seem more robust than spherical harmonic models, which have more degrees of freedom so that inconsistent data might lead to some dispersion of large - scale power towards higher spherical harmonic degrees.

The message from the IPCC assessment reports would be more robust if it also made available the source code and data from which its key figures and conclusions are derived.

This curve is statistically speaking a «random walk», with no robust statistical correlation with atmospheric CO2, which has seen no cycles but has increased at a fairly constant CAGR of around 0.4 % per year since measurements started at Mauna Loa in 1958 and at an estimated somewhat slower rate before this, based on ice core data.

The data is robust and comparable through time, which will enable climate researchers to better understand long - term changes in monthly and seasonal climate, as well as changes in day - to - day weather, such as the frequency of heat and cold extremes.

A fully characterized excursion would also include robust empirical input data, which for climate change would be tracking data for the climate drivers.

An example is the Monte Carlo method, which can sometimes tightly constrain an estimation of output without robust data on input.

There are more robust, parsimonious explanations which fit with the theories and empirical data of physical science.