The Cooper Hewitt Design Museum houses an impressive collection of designed objects that chronicle the history and significance of design in our evolving world. These objects range from unrealized works of architecture to handwoven textiles from Africa to graphic designed posters that reflect the culture and pulse of humanity of their time. The museum is housed in the former mansion of Andrew Carnegie. Upon its completion in 1901, the sixty-four room mansion was the first private residence in the United States to have a structural steel frame that allowed for more expansive spaces and a feeling of lightness. The Carnegie Mansion was also the first private residence to have a residential elevator, central heating, and a precursor to central AC.

In Rwanda, transporting critical medicine and blood can be difficult if the patient is in a remote location. Heavy downpours can wash out the roads, and local hospitals are often too small to stock everything their doctors might need. Now, the Rwandan government is side-stepping the problem with a drone delivery program. In the western half of the country, 21 transfusion clinics can request batches of blood via text. The order will be picked up by Zipline, a California-based robotics firm, at its "nest" base in Muhanga.

For now, Zipline will make between 50 and 150 deliveries per day to 21 clinics in the western half of the country. UPS, the US delivery and logistics giant, helped ship all of Zipline's equipment to Rwanda. The UPS Foundation, the company's charitable branch, earlier this year invested 1.1 million in a project to investigate how such drone delivery could be expanded to other medicines, and other countries. And while for now the Rwanda service will just deliver blood, there are plans to expand into other medical areas, such as vaccines. Gavi, a public-private partnership which promotes vaccination, is partnering with UPS and Zipline on the research.

Rwanda has launched a drone delivery network to transport vital blood supplies to far-flung areas of the country. The project will see unmanned aerial vehicles or drones used to deliver small packages by parachute, bypassing traffic or washed-out roads in a country dubbed the Land of a Thousand Hills. It was introduced on Friday in Rwanda's Muhanga district, but is expected to expand to the rest of the country by early 2017. On demand, the drones are expected to make around 150 deliveries of blood to 21 facilities each day, according to Zipline, the company behind the project. Health professionals can order the emergency packages by text message and deliveries will be made in approximately 30 minutes, officials said.

What is being hailed as the world's first commercial regular drone delivery service is beginning drop-offs in Rwanda. The operation uses fixed-wing drones that automatically fly to destinations in the central African nation. They release small packages attached to parachutes without needing to land at the delivery points before returning. The technology promises to make deliveries much faster than had previously been possible by road. Zipline - the US start-up running the project - is made up of engineers who formerly worked at Space X, Google, Lockheed Martin and other tech companies. Its drones will initially be used to deliver blood, plasma, and coagulants to hospitals across rural western Rwanda, helping to cut waiting times from hours to minutes.

In a warehouse outside of Kigali, Rwanda, 15 drones sit waiting to receive a message. When the text comes in, one loads up and zips off into the sky – on a mission to save a life. Today, the government of Rwanda announced an emergency drone delivery service. These drones will make up to 150 trips per day, carrying blood supplies to clinics in need. Rwanda has relatively good infrastructure in some places, but in others it can be unreliable, says Moz Siddiqui at the Global Alliance for Vaccines and Immunization (GAVI), one of the partners in the project, along with UPS and California drone company Zipline.

Mapping forest aboveground biomass (AGB) has become an important task, particularly for the reporting of carbon stocks and changes. AGB can be mapped using synthetic aperture radar data (SAR) or passive optical data. However, these data are insensitive to high AGB levels (\textgreater{}150 Mg/ha, and \textgreater{}300 Mg/ha for P-band), which are commonly found in tropical forests. Studies have mapped the rough variations in AGB by combining optical and environmental data at regional and global scales. Nevertheless, these maps cannot represent local variations in AGB in tropical forests. In this paper, we hypothesize that the problem of misrepresenting local variations in AGB and AGB estimation with good precision occurs because of both methodological limits (signal saturation or dilution bias) and a lack of adequate calibration data in this range of AGB values. We test this hypothesis by developing a calibrated regression model to predict variations in high AGB values (mean \textgreater{}300 Mg/ha) in French Guiana by a methodological approach for spatial extrapolation with data from the optical geoscience laser altimeter system (GLAS), forest inventories, radar, optics, and environmental variables for spatial inter-and extrapolation. Given their higher point count, GLAS data allow a wider coverage of AGB values. We find that the metrics from GLAS footprints are correlated with field AGB estimations (R 2 =0.54, RMSE=48.3 Mg/ha) with no bias for high values. First, predictive models, including remote-sensing, environmental variables and spatial correlation functions, allow us to obtain "wall-to-wall" AGB maps over French Guiana with an RMSE for the in situ AGB estimates of ~51 Mg/ha and R${}^2$=0.48 at a 1-km grid size. We conclude that a calibrated regression model based on GLAS with dependent environmental data can produce good AGB predictions even for high AGB values if the calibration data fit the AGB range. We also demonstrate that small temporal and spatial mismatches between field data and GLAS footprints are not a problem for regional and global calibrated regression models because field data aim to predict large and deep tendencies in AGB variations from environmental gradients and do not aim to represent high but stochastic and temporally limited variations from forest dynamics. Thus, we advocate including a greater variety of data, even if less precise and shifted, to better represent high AGB values in global models and to improve the fitting of these models for high values.

FILE- In this March 1, 2013 file photo, anti-Syrian President Bashar Assad protesters hold the Jabhat al-Nusra flag, as they shout slogans during a demonstration, at Kafranbel town, in Idlib province, northern Syria. Insurgent groups like Hezbollah and the Islamic State group in Syria have learned how to weaponize surveillance drones and use them against each other, adding a new twist to the country's civil war, a U.S. military official and others say. FILE- In this March 1, 2013 file photo, anti-Syrian President Bashar Assad protesters hold the Jabhat al-Nusra flag, as they shout slogans during a demonstration, at Kafranbel town, in Idlib province, northern Syria. Insurgent groups like Hezbollah and the Islamic State group in Syria have learned how to weaponize surveillance drones and use them against each other, adding a new twist to the country's civil war, a U.S. military official and others say. WASHINGTON (AP) -- French and Kurdish forces in northern Iraq were attacked by an exploding drone, the Pentagon said Wednesday, adding a new worry to the wars in Iraq and Syria as militant groups learn to weaponize their store-bought drones.

FILE- In this March 1, 2013 file photo, anti-Syrian President Bashar Assad protesters hold the Jabhat al-Nusra flag, as they shout slogans during a demonstration, at Kafranbel town, in Idlib province, northern Syria. Insurgent groups like Hezbollah and the Islamic State group in Syria have learned how to weaponize surveillance drones and use them against each other, adding a new twist to the country's civil war, a U.S. military official and others say. FILE- In this March 1, 2013 file photo, anti-Syrian President Bashar Assad protesters hold the Jabhat al-Nusra flag, as they shout slogans during a demonstration, at Kafranbel town, in Idlib province, northern Syria. Insurgent groups like Hezbollah and the Islamic State group in Syria have learned how to weaponize surveillance drones and use them against each other, adding a new twist to the country's civil war, a U.S. military official and others say. WASHINGTON (AP) -- Militant groups like Hezbollah and the Islamic State group have learned how to weaponize surveillance drones and use them against each other and coalition forces, adding a new twist to the wars in Iraq and Syria, the Pentagon said Wednesday.

FILE- In this March 1, 2013 file photo, anti-Syrian President Bashar Assad protesters hold the Jabhat al-Nusra flag, as they shout slogans during a demonstration, at Kafranbel town, in Idlib province, northern Syria. Insurgent groups like Hezbollah and the Islamic State group in Syria have learned how to weaponize surveillance drones and use them against each other, adding a new twist to the country's civil war, a U.S. military official and others say. FILE- In this March 1, 2013 file photo, anti-Syrian President Bashar Assad protesters hold the Jabhat al-Nusra flag, as they shout slogans during a demonstration, at Kafranbel town, in Idlib province, northern Syria. Insurgent groups like Hezbollah and the Islamic State group in Syria have learned how to weaponize surveillance drones and use them against each other, adding a new twist to the country's civil war, a U.S. military official and others say. WASHINGTON (AP) -- Militant groups like Hezbollah and the Islamic State group have learned how to weaponize surveillance drones and use them against each other, adding a new twist to Syria's civil war, a U.S. military official and others say.