Sentences with phrase «reduce uncertainties in the data»

Further advances in understanding the acquisition of magnetisation in archeo - and paleomagnetic data, continuing development of improved laboratory procedures and further investigations of suitability and appropriate scaling of sedimentary relative intensity records will help to reduce uncertainties in the data, and consequently also in the models.

Not exact matches

These risks and uncertainties include: Gilead's ability to achieve its anticipated full year 2018 financial results; Gilead's ability to sustain growth in revenues for its antiviral and other programs; the risk that private and public payers may be reluctant to provide, or continue to provide, coverage or reimbursement for new products, including Vosevi, Yescarta, Epclusa, Harvoni, Genvoya, Odefsey, Descovy, Biktarvy and Vemlidy ®; austerity measures in European countries that may increase the amount of discount required on Gilead's products; an increase in discounts, chargebacks and rebates due to ongoing contracts and future negotiations with commercial and government payers; a larger than anticipated shift in payer mix to more highly discounted payer segments and geographic regions and decreases in treatment duration; availability of funding for state AIDS Drug Assistance Programs (ADAPs); continued fluctuations in ADAP purchases driven by federal and state grant cycles which may not mirror patient demand and may cause fluctuations in Gilead's earnings; market share and price erosion caused by the introduction of generic versions of Viread and Truvada, an uncertain global macroeconomic environment; and potential amendments to the Affordable Care Act or other government action that could have the effect of lowering prices or reducing the number of insured patients; the possibility of unfavorable results from clinical trials involving investigational compounds; Gilead's ability to initiate clinical trials in its currently anticipated timeframes; the levels of inventory held by wholesalers and retailers which may cause fluctuations in Gilead's earnings; Kite's ability to develop and commercialize cell therapies utilizing the zinc finger nuclease technology platform and realize the benefits of the Sangamo partnership; Gilead's ability to submit new drug applications for new product candidates in the timelines currently anticipated; Gilead's ability to receive regulatory approvals in a timely manner or at all, for new and current products, including Biktarvy; Gilead's ability to successfully commercialize its products, including Biktarvy; the risk that physicians and patients may not see advantages of these products over other therapies and may therefore be reluctant to prescribe the products; Gilead's ability to successfully develop its hematology / oncology and inflammation / respiratory programs; safety and efficacy data from clinical studies may not warrant further development of Gilead's product candidates, including GS - 9620 and Yescarta in combination with Pfizer's utomilumab; Gilead's ability to pay dividends or complete its share repurchase program due to changes in its stock price, corporate or other market conditions; fluctuations in the foreign exchange rate of the U.S. dollar that may cause an unfavorable foreign currency exchange impact on Gilead's future revenues and pre-tax earnings; and other risks identified from time to time in Gilead's reports filed with the U.S. Securities and Exchange Commission (the SEC).

A new integrated climate model developed by Oak Ridge National Laboratory and other institutions is designed to reduce uncertainties in future climate predictions as it bridges Earth systems with energy and economic models and large - scale human impact data.

A new integrated computational climate model developed to reduce uncertainties in future climate predictions marks the first successful attempt to bridge Earth systems with energy and economic models and large - scale human impact data.

Our new -LCB- \ em Spitzer -RCB- observations were taken two years after the original K2 discovery data and have a significantly higher cadence, allowing us to derive improved estimates for this planet's radius, semi-major axis, and orbital period, which greatly reduce the uncertainty in the prediction of near future transit times for the -LCB- \ em James Webb Space Telescope -RCB--LRB--LCB- \ em JWST -RCB--RRB- observations.

Using TGAS parallaxes in isochrone fitting we are able to reduce distance and age estimate uncertainties for TGAS stars for distances up to 1 kpc by more than one third, compared to results based only on spectrophotometric data.

In their rejoinder MW claim they didn't agree with reducing the data set to 59 as follows: «the application of ad hoc methods to screen and exclude data increases model uncertainty in ways that are unmeasurable and uncorrectable.&raquIn their rejoinder MW claim they didn't agree with reducing the data set to 59 as follows: «the application of ad hoc methods to screen and exclude data increases model uncertainty in ways that are unmeasurable and uncorrectable.&raquin ways that are unmeasurable and uncorrectable.»

Jane Burston, Head of the Centre for Carbon Measurement at the National Physical Laboratory, spoke to Climate Action about how the NPL is reducing uncertainty in climate data and helping to develop low carbon technologies.

By bringing in a greater volume of data, Berkeley Earth is able to significantly reduce our uncertainties.

In other words, the analysis neglects structural uncertainty about the adequacy of the assumed linear model, and the parameter uncertainty the analysis does take into account is strongly reduced by models that are «bad» by this model - data mismatch metric.

Data from our «eyes» in space allow us to verify our simulations of past and current climate, which, in turn, helps us reduce uncertainties in projections of future climate,» said Josh Fisher, a co-author on the study who works at NASA's Jet Propulsion Laboratory in a release.

There was a workshop on just this topic at the International Centre for Theoretical Physics in Trieste last year «Representing and reducing uncertainties in high - resolution proxy climate data».

Innovative new approaches to climate data analysis, continued improvements in climate modeling, and instigation and maintenance of reference quality observation networks such as the U.S. Climate Reference Network (http://www.ncdc.noaa.gov/crn/) all have the potential to reduce uncertainties.

Based on our inferred close relationship between past and future temperature evolution, our study suggests that paleo - climatic data can help to reduce uncertainty in future climate projections.

I fully accept we need more and better data of the Vostok type to reduce such uncertainties, but in the meantime they're the best data we have.

Many historical in situ marine data still remain to be digitised and incorporated into the database, to improve coverage and reduce the uncertainties in our estimates of marine climatic variations.

Despite uncertainty and confusion about the numbers, the 2016 data is one more piece of evidence that China will not return to the days of skyrocketing coal consumption for good, and that the world's largest CO2 emitter is on the right path to start reducing its emissions permanently at some point in the coming decade.

GIA creates uncertainty in sea - level reconstructions based on shoreline geological data [65], which could be reduced via appropriately distributed field studies.

The data generated in this laboratory is used to reduce the uncertainty associated with representing the organic aerosol lifecycle in climate models.

If not, then in terms of systematic error, a per day uncertainty in a physical quantity (0.2 C per reading) of a physically unique data point can not be reduced to a physical uncertainty of 0.03 C merely by taking a mean of the points.

Two other important records from satellite instruments — one from MODIS and the other from MISR — don't agree well over land, so scientists hope that data from other other sensors like SeaWiFS might help resolve some of the discrepancies and reduce the overall uncertainty about aerosols in climate models.