Channel 1 Networks
Aaron is the webmaster of Channel 1 Networks and video editor/camera man for most all produced media content.
Homepage: http://c1n.tv
Posts by Channel 1 Networks
Gov. Hickenlooper to present awards for High-Impact Research
Oct 5th
Annual CO-LABS awards recognize achievements at Colorado’s 24 federal labs and other research facilities
Oct. 4, 2012
Colorado Gov. John Hickenlooper will present the annual awards for “High-Impact Research” on Oct. 25 to teams from six Colorado-based research centers for breakthroughs in hurricane forecasting, oil-spill air quality assessment, Lyme disease prevention, energy efficiency, detection of aquatic invaders and crop science.
CO-LABS, the nonprofit that informs the public about the breakthroughs and impacts from the 24 federal labs in Colorado, is sponsoring the 2012 Governor’s Award for High-Impact Research, to be held at the Jennie Smoly Caruthers Biotechnology Building, University of Colorado Boulder, beginning at 5:30 p.m. on Oct. 25.
Colorado is a global leader in natural resource management, climate science, renewable energy, photonics, materials science, astrophysics, telecommunications and earth science. “Researchers in Colorado laboratories are working together and finding solutions to some of the world’s most challenging problems, which is reflected in the Governor’s awards and the commitment that Colorado has to its federal and state organizations,” Bill Farland, chair of CO-LABS said.
The annual reception is the major CO-LABS event to showcase the research facilities and the work of the CO-LABS organization. Award recipients include:
Deepwater Horizon Atmospheric Science Team, a partnership of the National Oceanic and Atmospheric Administration and the University of Colorado’s Cooperative Institute for Research in Environmental Sciences
Honored for their work in atmospheric science will be Thomas Ryerson, Joost de Gouw, and researchers from NOAA and CIRES who joined together to form the Deepwater Horizon Atmospheric Science Team that under urgent circumstances assessed the potential air quality risks posed by the 2010 oil spill in the Gulf of Mexico. The team calculated independent estimates of the oil leak rate and analyzed the fate of the leaked oil in the environment. Using NOAA research aircraft, they also were able to advance scientific understanding of the chemistry of the atmosphere in the unique environment.
Cooperative Institute for Research in the Atmosphere/Advanced Technology Source, Colorado State University
Scientists from CIRA and ATS, led by Mark DeMaria, will be honored for creating advanced software that allows them to make direct comparisons between satellite observations and model forecasts to give a complete picture of tropical storms and their environments. The forecast tools developed by the Hurricane Forecast Intensity Program help transform cutting-edge observations and theory into better forecasts of hurricane intensity for operational meteorologists, saving lives and property.
Centers for Disease Control and Prevention, Fort Collins
An award will be presented to Robert D. Gilmore, Toni G. Patton, Kevin S. Brandt, and their colleagues at the CDC’s Division of Vector-Borne Diseases for discovering a gene that, when inactivated, prevents the bacteria that causes Lyme disease from producing an infection following a tick bite. The finding was the first demonstration of a borrelial gene essential to the process of transmitting infection via ticks. Understanding how the organism functions in both ticks and mammals may help in identifying new targets for vaccines and other therapeutics.
United States Department of Agriculture, Agricultural Research Service
Using a process-level computer model, Laj Ahuja and the team of researchers made several breakthroughs in helping farmers choose summer crops, evaluate performance of new bio-energy or forage dryland crops, manage water better, and explore potential adaptations to climate change, among other applications. The RZWQM2 computer model can extend short-period field research to long-term weather conditions, and different climates and soil; evaluate long-term effects of various management practices on water conservation, crop water use, and production under dryland and irrigated conditions; develop a decision criteria to select a summer crop which gives maximum net return to the farmer; help farmers in different Colorado counties make better decisions about irrigation; and evaluate effects of projected climate change on water demand.
Bureau of Reclamation
Denise M. Hosler and her colleagues at Reclamation’s Invasive Mussel Research Laboratory at the Denver Federal Center will be honored for advances in the early detection of zebra and quagga mussels and evaluation of potential control methods. Early detection at the larva stage provides reservoir managers with evidence that a water body is being exposed to mussels and gives them time to prepare for potential mussel impacts before noticeable problems arise. It also gives managers the opportunity to implement additional public education and boat inspection and cleaning programs that may prevent further exposure and reduce the chances of an infestation.
U.S. Department of Energy’s National Renewable Energy Laboratory
Honors will go to NREL senior scientist Matthew Keyser and his colleagues in the category of Foundational Technology for developing the Large-Volume Battery Calorimeter (LVBC) that can detect heat loss and determine efficiency in the large batteries being used to power electric vehicles. NREL’s LVBC is a crucial tool for automakers and battery companies, the only isothermal calorimeter capable of measuring the thermal efficiency of batteries for today’s and future generations of advanced vehicles. NREL’s calorimeter was recently used to identify the source of a potential 17% gain in battery power, which could ultimately deliver a dramatic improvement in vehicle performance.
CO-LABS advances awareness of Colorado’s federal research laboratories scientific resources and resulting research impacts. Colorado boasts 24 federally funded scientific research laboratories with a high concentration of renowned scientists whose work has global impact in a number of areas including natural resource management, climate change, renewable energy, photonics, and astrophysics. The laboratories work closely with Colorado’s research universities on basic research and development as well as the deployment of technologies. The CO-LABS consortium includes Colorado federal research laboratories, research universities, state and local governments, economic development organizations, private businesses and nonprofit organizations. It conducts economic analysis, encourages technology collaboration
CU study says Romney will be Pres
Oct 4th
Updated election forecasting model
still points to Romney win,
University of Colorado study says
still points to Romney win,
University of Colorado study says
An update to an election forecasting model announced by two University of Colorado professors in August continues to project that Mitt Romney will win the 2012 presidential election.
According to their updated analysis, Romney is projected to receive 330 of the total 538 Electoral College votes. President Barack Obama is expected to receive 208 votes — down five votes from their initial prediction — and short of the 270 needed to win.
The new forecast by political science professors Kenneth Bickers of CU-Boulder and Michael Berry of CU Denver is based on more recent economic data than their original Aug. 22 prediction. The model itself did not change.
“We continue to show that the economic conditions favor Romney even though many polls show the president in the lead,” Bickers said. “Other published models point to the same result, but they looked at the national popular vote, while we stress state-level economic data.”
While many election forecast models are based on the popular vote, the model developed by Bickers and Berry is based on the Electoral College and is the only one of its type to include more than one state-level measure of economic conditions. They included economic data from all 50 states and the District of Columbia.
Their original prediction model was one of 13 published in August in PS: Political Science & Politics, a peer-reviewed journal of the American Political Science Association. The journal has published collections of presidential election models every four years since 1996, but this year the models showed the widest split in outcomes, Berry said. Five predicted an Obama win, five forecast a Romney win, and three rated the 2012 race as a toss-up.
The Bickers and Berry model includes both state and national unemployment figures as well as changes in real per capita income, among other factors. The new analysis includes unemployment rates from August rather than May, and changes in per capita income from the end of June rather than March. It is the last update they will release before the election.
Of the 13 battleground states identified in the model, the only one to change in the update was New Mexico — now seen as a narrow victory for Romney. The model foresees Romney carrying New Mexico, North Carolina, Virginia, Iowa, New Hampshire, Colorado, Wisconsin, Minnesota, Pennsylvania, Ohio and Florida. Obama is predicted to win Michigan and Nevada.
In Colorado, which Obama won in 2008, the model predicts that Romney will receive 53.3 percent of the vote to Obama’s 46.7 percent, with only the two major parties considered.
While national polls continue to show the president in the lead, “the president seems to be reaching a ceiling at or below 50 percent in many of these states,” Bickers said. “Polls typically tighten up in October as people start paying attention and there are fewer undecided voters.”
The state-by-state economic data used in their model have been available since 1980. When these data were applied retroactively to each election year, the model correctly classifies all presidential election winners, including the two years when independent candidates ran strongly: 1980 and 1992. It also correctly estimates the outcome in 2000, when Al Gore won the popular vote but George W. Bush won the election through the Electoral College.
In addition to state and national unemployment rates, the authors analyzed changes in personal income from the time of the prior presidential election. Research shows that these two factors affect the major parties differently: Voters hold Democrats more responsible for unemployment rates, while Republicans are held more responsible for fluctuations in personal income.
Accordingly — and depending largely on which party is in the White House at the time — each factor can either help or hurt the major parties disproportionately.
In an examination of other factors, the authors found that none of the following had a statistically significant effect on whether a state ultimately went for a particular candidate: The location of a party’s national convention, the home state of the vice president or the partisanship of state governors.
The authors also provided caveats. Their model had an average error rate of five states and 28 Electoral College votes. Factors they said may affect their prediction include the timeframe of the economic data used in the study and that states very close to a 50-50 split may fall in an unexpected direction due to factors not included in the model.
“As scholars and pundits well know, each election has unique elements that could lead one or more states to behave in ways in a particular election that the model is unable to correctly predict,” they wrote.
All 13 election models can be viewed on the PS: Political Science & Politics website at http://journals.cambridge.org/action/displayJournal?jid=PSC.
CU to host workshop on student identity theft Oct. 10
Oct 4th
The University of Colorado Boulder will hold a student workshop with help from the Colorado Bureau of Investigation on the prevention of identity theft in the college-age population on Oct. 10.
The workshop, hosted by CU Money Sense, is open to all CU-Boulder students and will be held in University Memorial Center room 245 from 1 to 2:30 p.m. Students planning to attend should email CUmoneysense@colorado.edu.
Colorado consistently ranks in the top 15 states for identity theft and fraud, with several Colorado cities ranking in the top 10 cities in the nation, according to Erin Foster, communication specialist with CU Money Sense, CU-Boulder’s financial education program for students.
“Our guest speaker from CBI will talk about the real-life impact that identity theft can have on students’ lives,” said Foster. “We want to heighten student awareness about this issue.”
Hazel Heckers of CBI will discuss why students are particularly appealing to identity thieves and what they can do to protect themselves.
Other upcoming CU Money Sense events include:
- “Check Your Credit Report – Drop-in Help from CU Money Sense,” Wednesday, Oct. 17, noon. Email to make an appointment at CUmoneysense@colorado.edu.
- “Living Off-Campus – Everything First-timers Need to Know,” Jan. 24 (time and location to be determined).
- “How to Apply for Financial Aid” (time, date and location to be determined).
For more information about CU Money Sense visit http://bursar.colorado.edu/cumoneysense/.
