Sentences with phrase «data over all scales»

The rules of chaos include regimes and abrupt shifts that feature in climate data over all scales.

Not exact matches

Since his hire, Miles has scaled DSC's engineering team to over seventy five engineers and data scientists, built an Enterprise Information Systems team, rolled out an agile practice and prepared the platforms for global expansion.

We're also doing a scaled - down version of this global project for students all over the world, using data to understand their communities, for one day, on November 8th.

Since taking over, he has reportedly scaled back an investigation into the Equifax data breach, relaxed restrictions on often predatory payday lenders, and recommended Congress pursue sweeping changes to the CFPB's powers.

Over the past 10 years, her groundbreaking work has generated a broad spectrum of innovative and ambitious output, from large - scale data analytics programs to site - specific multimedia installations, transforming billions of emotion data points into immersive works of art.

It then started tracking and releasing data about the scale of foreign buying in Metro Vancouver (about 10 per cent of the value of all deals, equal to $ 885 million over a five - week period).

Today, our API platform - as - a-service enables you to plug directly into over 690 trading partners to access real - time transactional data at scale.

In their May 2013 paper entitled «Forty Years, Thirty Currencies and 21,000 Trading Rules: A Large - Scale, Data - Snooping Robust Analysis of Technical Trading in the Foreign Exchange Market», Po - Hsuan Hsu and Mark Taylor test the effectiveness of a broad set of quantitative technical trading rules as applied to exchange rates of 30 currencies with the U.S. dollar over extended periods.

The data comes from large - scale longitudinal panels, making it possible to study the same consumers over time, analyze competitive market baskets, and identify purchase patterns.

As WeFarm continues to scale over the next year, its algorithms will be able to start mapping and predicting issues like disease and drought across entire regions and countries where no live data currently exists.

The scale of the challenge is reflected in the fact that over 22,000 new Data Protection Officer roles are expected to be filled in the coming months.

Using different calibration and filtering processes, the two researchers succeeded in combining a wide variety of available data from temperature measurements and climate archives in such a way that they were able to compare the reconstructed sea surface temperature variations at different locations around the globe on different time scales over a period of 7,000 years.

The NSABB is currently considering recommending one, but given the scale of the controversy over the papers and the moves to establish a data - sharing mechanism, a de facto moratorium may already exist.

She added that the key to filling in the blanks with infection forecasts is better data, getting more granular information over smaller regions and measuring over different time scales.

Lead author Dr. Joseph Ripberger said: «We matched high - resolution data on climate conditions from the Oklahoma Mesonet to the Meso - Scale Integrated Socio - geographic Network (M - SISNet), an address - based panel survey that continuously measures public perceptions of climatic conditions over time.»

In addition, the data density and geographic extent of this study is far greater than most previous studies because over 16,000 stream temperature sites were used with thousands of biological survey locations to provide precise information at scales relevant to land managers and conservationists.

For the study, the researchers gathered a long - term data set of residential lawn - watering frequency and lawn - watering behaviors, determined the scale of weekly lawn - watering frequency with water restrictions alone, and tested to determine if adding the weather - based conservation strategy could improve lawn irrigation efficiency and water savings over water restrictions alone.

For the competition, participants were given just a slice of this data set, collected over 3 months, and asked to design an algorithm to predict how patients would fare in the subsequent 9 months, according to a standard functional scale that measures their ability to move and care for themselves.

A new analysis of worldwide customs and trade data published in the journal Biological Conservation confirms that shark - fin trade has dropped by approximately 25 percent over the last decade «Although we can't say that we fully understand the scale or the cause of the shark fin trade decline in China, it seems safe to conclude that demand for fins is waning, and that sounds like good news for sharks,» says global shark fin trade expert Shelley Clarke, a co-author on this study.

«Large - scale data analyses generate insights about people — their mood, goals, intentions, health, and well - being — over both short and long periods of time,» he says.

A new analysis of NASA satellite data shows Africa's Congo rainforest, the second - largest tropical rainforest in the world, has undergone a large - scale decline in greenness over the past decade.

«Over time, I expect the GDC will play a more and more important role in providing the data required at the scale required so that precision medicine fulfills its promise.»

They explore data showing temperature changes over the past 120 years and data illustrating climate trends over different time scales.

Data selection and triage are important techniques for large - scale data, which can drastically reduce the amount of data written to disk or transmitted over a netwData selection and triage are important techniques for large - scale data, which can drastically reduce the amount of data written to disk or transmitted over a netwdata, which can drastically reduce the amount of data written to disk or transmitted over a netwdata written to disk or transmitted over a network.

«We believe that getting regular feedback and advice from an experienced bioinformatician over an extensive period of time is an excellent way to learn how to make use of large - scale biological and medical data.

Examples of science projects enabled by the data in the High - Latitude Survey include: mapping the formation of cosmic structure in the first billion years after the Big Bang via the detection and characterization of over 10,000 galaxies at z > 8; finding over 2,000 QSOs at z > 7; quantifying the distribution of dark matter on intermediate and large scales through lensing in clusters and in the field; identifying the most extreme star - forming galaxies and shock - dominated systems at 1 < z < 2; carrying out a complete census of star - forming galaxies and the faint end of the QSO luminosity function at z ~ 2, including their contribution to the ionizing radiation; and determining the kinematics of stellar streams in the Local Group through proper motions.

The large - scale data analysis evaluated the responses of over 42000 members of EliteSingles based in America's 30 biggest cities.

The reporters provide the reader with a host of mostly misleading state - provided test - score data, because the State of New York mis - constructed the proficiency scales on its statewide tests, thereby rendering interpretation of scores over time virtually impossible.

Consulting the colorful compasses and graphs of the WeatherNet Classroom Web site, which track data captured by equipment mounted on the school's rooftop, the class puzzled over how best to survive a chemical spill on a nearby highway or the fallout of a small - scale atomic explosion in downtown Washington, located just 25 miles south of this quiet suburban community.

President Obama launched the Promise Neighborhoods in 2010 and now over 50 communities are planning or implementing results - focused data - driven Promise Neighborhoods, scaling up to serve 200,000 children nationwide.

VAMs v. Student Growth Models: The main similarities between VAMs and student growth models are that they all use students» large - scale standardized test score data from current and prior years to calculate students» growth in achievement over time.

Prior to that, he directed and scaled UChicago Impact — an organization providing nationwide school improvement data tools built from high - end research to over 4,000 schools nationwide.

During each cycle of the project, Alleyn's students track the development of the Goodrich pupils» reading fluency, expression, understanding and engagement on a weekly basis using a five point rating scale (on eight items), generating 800 data points over a five - week period.

Thus, it is quite technically feasible to do large - scale implementation of early childhood programs and business incentive programs, while collecting ongoing data that will allow these large - scale programs to be improved over time.

Suburban districts, after all, also have to deal with quality - blind seniority - based privileges such as reverse - seniority layoff rules, pay scales that favor seat time over performance, and restrictions on the use of objective student test score growth data from use in teacher evaluations.

The Collective is a new business unit that utilizes data from Kochava's Free App Analytics solution to deliver rich mobile audiences at massive scale over 2 billion devices globally through a self - serve UX.

For over a decade, she has been documenting glacial recession in large - scale paintings and photographs developed in collaboration with scientists, studying their research, and utilizing their data.

The data set (s) available do not extend over enough time to be used for an accurate determination of periodicity at these time scales.

They have not analyzed the first year of data yet, but in my lab we have looked at results from a similar set of moorings at 15N (Uwe Send's work) and find rather significant variability on weekly to monthly time scales (but no trend over the 4 years of data).

This data is not noisy on an annual scale, and in fact is decelerating over the last decade from a previous nearly linear 3 mm / year since the measurements began.

The actual prevailing view of the paleoclimate research community that emerged during the early 1990s, when long - term proxy data became more widely available and it was possible to synthesize them into estimates of large - scale temperature changes in past centuries, was that the average temperature over the Northern Hemisphere varied by significantly less than 1 degree C in previous centuries (i.e., the variations in past centuries were small compared to the observed 20th century warming).

We can estimate the atmospheric overturning from reanalyses which provide data on the flow over a range of vertical levels and on a global scale.

I understand the issue — that when considered as a whole, the data on the Nature cover may better capture the trends over time than any other method of determining the average trend over the continent — but that said, it is not accurate on the fine spatial scale that it is presented.

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.

Given some trial you mentioned had some data on how much additional carbon was sequestered it should be possible to do a calculation on whats possible at larger scale and over what time periods

-- These storms should penetrate higher as climate warms according to the models, a positive feedback, and satellite data looking at cloud height changes over El Nino time scales show something similar and show the models getting that about right also, for physical reasons we think we understand

Numerous case studies have revealed that no - till farming greatly reduces erosion.To determine if there really was a link between no - till farming and the prevention of soil loss on a large scale, Montgomery gathered a wealth of erosion data from all over the world and compared no - till erosion losses to those from plow - based farms.

I COULD go on, but why bother, when a pure theoretician, assumes the Solar Systen is made up out of constants, and there are no empirical data (the one paper he does cite seems to be all over the place with time scaling issues though) to support the multitude of his various claims.

BTW the scale is over 15 even if you stick to those July 2003 data which were the only ones published for years and years.

However, models would need to underestimate variability by factors of over two in their standard deviation to nullify detection of greenhouse gases in near - surface temperature data (Tett et al., 2002), which appears unlikely given the quality of agreement between models and observations at global and continental scales (Figures 9.7 and 9.8) and agreement with inferences on temperature variability from NH temperature reconstructions of the last millennium.