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Since 2013, the Centers for Disease Control and Prevention (CDC) has hosted an annual influenza season forecasting challenge. The 2015–2016 challenge consisted of weekly probabilistic forecasts of multiple targets, including fourteen models submitted by eleven teams. Forecast skill was evaluated using a modified logarithmic score. We averaged submitted forecasts into a mean ensemble model and compared them against predictions based on historical trends. Forecast skill was highest for seasonal peak intensity and short-term forecasts, while forecast skill for timing of season onset and peak week was generally low. Higher forecast skill was associated with team participation in previous influenza forecasting challenges and utilization of ensemble forecasting techniques. The mean ensemble consistently performed well and outperformed historical trend predictions. CDC and contributing teams will continue to advance influenza forecasting and work to improve the accuracy and reliability of forecasts to facilitate increased incorporation into public health response efforts.

Global disease suitability models are essential tools to inform surveillance systems and enable early detection. We present the first global suitability model of highly pathogenic avian influenza (HPAI) H5N1 and demonstrate that reliable predictions can be obtained at global scale. Best predictions are obtained using spatial predictor variables describing host distributions, rather than land use or eco-climatic spatial predictor variables, with a strong association with domestic duck and extensively raised chicken densities. Our results also support a more systematic use of spatial cross-validation in large-scale disease suitability modelling compared to standard random cross-validation that can lead to unreliable measure of extrapolation accuracy. A global suitability model of the H5 clade 2.3.4.4 viruses, a group of viruses that recently spread extensively in Asia and the US, shows in comparison a lower spatial extrapolation capacity than the HPAI H5N1 models, with a stronger association with intensively raised chicken densities and anthropogenic factors.

Nissan is accelerating plans to go more green. The automaker announced it will spend nearly $18 billion of the next five years to add twenty new battery-powered cars to its lineup. That matches similar targets made by rivals in the U.S. and Europe earlier this year. Nissan said some of the vehicles would run just on battery like the LEAF which debuted more than a decade ago.

Even if they could exit, they would be forced into a lane used by bicyclists and have to wheel themselves to the nearest driveway to access the sidewalks. Since the chairs are so low, the danger of a vehicle impact would be a concern, especially since there would be parked cars blocking the driver's view.

M2 PRESSWIRE-March 8, 2007-Stockwire.com: Speak with other shareholders about: (OTC: HLUN), (NASDAQ: TRCA), (NASDAQ: MATK), and (NASDAQ: GNTA) . (C)1994-2007 M2 COMMUNICATIONS LTD AUSTIN, TX: A very interesting indicator to look for is where the money is flowing into. We have a filter that we watch every morning that shows us \"Dollar Volume\". Here are a few of these stocks: Healtheuniverse, Inc. (OTC: HLUN), Tercica Inc. (NASDAQ: TRCA), Martek Biosciences Corporation (NASDAQ: MATK), and Genta Inc. (NASDAQ: GNTA) . Martek Biosciences Corporation (NASDAQ: MATK) announced its financial results for the first quarter of fiscal 2007 (1st Qtr 07), which ended January 31, 2007. For the 1st Qtr 07, revenues of $70.3 million were achieved, a 12% increase compared to $62.9 million for the first quarter of fiscal 2006 (1st Qtr 06). For the 1st Qtr 07, Martek generated net income of approximately $3.8 million, or $0.12 per diluted share, compared to net income of $5.6 million, or $0.17 per diluted share, for the 1st Qtr 06. Excluding expenses related to the Company's October 2006 plant restructuring, the Company's net income on a non- GAAP basis would have been $4.1 million, or $0.13 per diluted share, for the 1st Qtr 07.