Land management practices to reduce nitrogen load may be affected by climate changes

Nitrogen from agricultural production is a major cause of pollution in the Mississippi River Basin and contributes to large dead zones in the Gulf of Mexico. Illinois and other Midwestern states have set goals to reduce nitrogen load through strategies that include different land management practices. A new study uses computer modeling to estimate how those practices may be affected by potential changes in the climate, such as increased rainfall.

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Hydrologic simulation models that inform policy decisions are difficult to interpret

Hydrologic models that simulate and predict water flow are used to estimate how natural systems respond to different scenarios such as changes in climate, land use, and soil management. The output from these models can inform policy and regulatory decisions regarding water and land management practices. Numerical models have become increasingly easy to employ with advances in computer technology and software with graphical user interface (GUI). While these technologies make the models more accessible, problems can arise if they are used by inexperienced modelers.

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Intelligent, shape-morphing, self-healing material for soft robotics

Advances in the fields of soft robotics, wearable technologies, and human/machine interfaces require a new class of stretchable materials that can change shape adaptively while relying only on portable electronics for power. Researchers have developed such a material that exhibits a unique combination of high electrical and thermal conductivity with actuation capabilities that are unlike any other soft composite.

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Algorithm personalizes which cancer mutations are best targets for immunotherapy

As tumor cells multiply, they often spawn tens of thousands of genetic mutations. Figuring out which ones are the most promising to target with immunotherapy is like finding a few needles in a haystack. Now a new model hand-picks those needles so they can be leveraged in more effective, customized cancer vaccines.

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Revamped crew scheduling model cuts airline delays by as much as 30%

Delays and disruptions in airline operations annually result in billions of dollars of additional costs to airlines, passengers and the economy. Airlines strive to mitigate these costs by creating schedules that are less likely to get disrupted or schedules that are easy to repair when there are disruptions — new research has found a solution using a mathematical optimization model.

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