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The authors looked at non-natural factors that influenced the spread rate of fire ants in multiple cities in China.

Here the authors present an autonomous drone air filtration system that uses a novel algorithm, the gradient ascent ML particle filter (GA/MLPF), to efficiently locate and mitigate outdoor air pollution. They demonstrate that their GA/MLPF algorithm is significantly more efficient than the conventional gradient ascent algorithm, reducing both the time and number of waypoints needed to find the source of pollution.

The authors looked at different factors that influence specific gravity in beverages, including sweetener used, caffeine, carbonation, and sodium.

The authors looked at how activation of the sympathetic nervous system impacts short-term memory.

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.