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The authors looked at the ability of different machine learning algorithms to predict the level of financial corruption in different countries.

The authors looked the ability to predict future stock prices using various machine learning models.

The authors looked at how storage temperature of potatoes can impact the sweetness of potatoes (due to the break down of the starch into simple sugars).

The authors looked at the ability to use graphite from pencils in anodes of lithium-anode batteries.

The authors looked at the correlation between being able to speak more than one language (multilingualism) and visual imagery. They found multilingual individuals had higher visual imagery as measured by the VVIQ.

The authors evaluated the effect of concentration and variant of N-Acetylcysteine in hydrolyzing mucus.

The authors created a 1D model to diagnose hepatomegaly and cirrhosis via ultrasound of the liver.

Using machine learning to predict the risk of algae bloom

The authors studied the chemoreception of moon jellyfish in response to food, and developed an AI tool to identify track and quantify the pulsation of swimming jellyfish.

The authors looked at alternative production processes for PHB plastic in an effort to reduce environmental impact. They found that no alternative process was able to significantly decrease the environmental impact of PHB production, but that optimizing dewatering steps during production could lead to the largest improvement on environmental impact.