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In this experiment, the authors modify the heat equation to account for imperfect insulation during heat transfer and compare it to experimental data to determine which is more accurate.

Seeking to investigate the effects of ambient pollutants on human respiratory health, here the authors used machine learning to examine asthma in Lost Angeles County, an area with substantial pollution. By using machine learning models and classification techniques, the authors identified that nitrogen dioxide and ozone levels were significantly correlated with asthma hospitalizations. Based on an identified seasonal surge in asthma hospitalizations, the authors suggest future directions to improve machine learning modeling to investigate these relationships.

Here the authors strive to remedy the financial and mechanical deficiencies in current prosthetics by building a simple, noninvasive vibratory sensory feedback system into an inexpensive constructed 3D-printed prosthetic arm. They find that this simple feedback system has the potential to enhance feedback performance at a less cost.

Because humans live in societies, they may feel social pressure to conform to majority opinions. This follow-up study explores whether teenagers are likely to change their opinions to match others’, particularly in ambiguous situations.

The authors compare current machine learning algorithms with a new Explainable AI algorithm that produces a human-comprehensible decision tree alongside predictions.

Default opt-ins and social proof tags effect on decision making in an e-commerce context

The authors looked at different combinations of risk-adjusted return measures to determine which combination would provide an optimal return for investors. They found that different combinations performed better dependent on investment timeframe.

The authors looked at potential downstream effects of raising the minimum wage. Specifically they focused on taxable wages, employment, and firm counts.

Here, the authorized analyzed data from the Florida Department of Education Office of Safe Schools regarding disciplinary outcomes in Collier County public schools. They reported that Black Students were more likely to receive both in-school and out-of-school suspensions than White students, which they concluded suggests racial inequities in school discipline that requires addressing as a society.

The authors look at using publicly available data and machine learning to see if they can develop a criminal activity index for counties within the state of California.