The authors looked at the ability of different machine learning algorithms to predict the level of financial corruption in different countries.
Read More...Predicting and explaining illicit financial flows in developing countries: A machine learning approach
The authors looked at the ability of different machine learning algorithms to predict the level of financial corruption in different countries.
Read More...Visualizing black holes and wormholes through raytracing
The authors visualized black holes and wormholes using code and ray-tracing programs.
Read More...Effect of mass and center of gravity on vehicle speed and braking performance
In this study, the authors test whether a gravity vehicle, which is a vehicle powered by its own gravity on a ramp, could be designed to move faster when mathematical calculations for optimal mass and center of gravity were applied in the design.
Read More...The Effects of Post-Consumer Waste Polystyrene on the Rate of Mealworm Consumption
In a world where plastic waste accumulation is threatening both land and sea life, Green et al. investigate the ability of mealworms to breakdown polystyrene, a non-recyclable form of petrochemical-based polymer we use in our daily lives. They confirm that these organisms, can degrade various forms of polystyrene, even after it has been put to use in our daily lives. Although the efficiency of the degradation process still requires improvement, the good news is, the worms are tiny and themselves are biodegradable, so we can use plenty of them without worrying about space and how to get rid of them. This is very promising and certainly good news for the planet.
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