Performance of GPT-4 on the American College of Radiology In-training Examination: Evaluating Accuracy, Model Drift, and Fine-tuning.

Rationale And Objectives: In our study, we evaluate GPT-4's performance on the American College of Radiology (ACR) 2022 Diagnostic Radiology In-Training Examination (DXIT). We perform multiple experiments across time points to assess for model drift, as well as after fine-tuning to assess for differences in accuracy.

Materials And Methods: Questions were sequentially input into GPT-4 with a standardized prompt.

Novel Validated Index for the Measurement of Disinformation Susceptibility at the County Level.

In the past decade, disinformation has become an increasingly dangerous enemy of public health, scientific advancement, and social stability. To address and counter this trend, it is essential to first identify communities most at risk for disinformation. The Jin-Hafiz Disinformation Index (JHDI) is developed and validated as a tool to counter disinformation and address deficits of good information on a county level in the United States.

Gray's paradox: a fluid mechanical perspective.

Nearly eighty years ago, Gray reported that the drag power experienced by a dolphin was larger than the estimated muscle power - this is termed as Gray's paradox. We provide a fluid mechanical perspective of this paradox. The viewpoint that swimmers necessarily spend muscle energy to overcome drag in the direction of swimming needs revision.

Energy efficiency and allometry of movement of swimming and flying animals.

Which animals use their energy better during movement? One metric to answer this question is the energy cost per unit distance per unit weight. Prior data show that this metric decreases with mass, which is considered to imply that massive animals are more efficient. Although useful, this metric also implies that two dynamically equivalent animals of different sizes will not be considered equally efficient.