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Detecting cervical spondylosis using deep learning

The authors looked at the feasibility to predict wind speeds that will have less reliance on using historical data.

The authors looked at the ability subjects to rotation a 4D cube and how the ability to practice cube rotation impact their ability to understand 4D space.

This paper looks at the antibacterial and toxic effects of silver nanoparticles (AgNPs) on Escherichia coli bacteria and Drosophila melanogaster fruit flies. They modified the AgNPs size, concentration, and surface coating to determine the effects on each of the organisms. For both organisms, increased AgNP concentration demonstrated increased toxicity but particle size and surface coating had opposing effects.

The authors looked the ability of sound sensors to predict clogged pipes when the sound intensity data is run through a machine learning algorithm.

The authors looked at how the length of an audio clip used of a song impacted the ability to properly classify it by musical genre.

The authors re-examine the galactic kinematics of relic galaxy NGC 1277, recently identified as dark matter deficient, by reproducing its rotation curve with data from the George and Cynthia Mitchell Spectrograph.

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

The authors looked at the ability to detect heart disease before the onset of severe clinical symptoms.

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