Browse Articles

The authors use blood smears from individuals with sickle cell disease to correlate sickle cell frequency with the occurrence of vaso-occlusive crises.

The authors looked at the immunogenicity of a newly developed pneumococcal conjugate vaccine compared to a previously developed one. They found the newly developed vaccine did elicit an immune response.

The authors trained a machine learning model to detect kidney stones based on characteristics of urine. This method would allow for detection of kidney stones prior to the onset of noticeable symptoms by the patient.

Consumers in India and the United Arab Emirates live in very different economic and cultural environments, and this study set out to measure how that shapes the way they shop and pay. Surveying 50 people in each country, they found that Indian consumers were more price-sensitive and favored cash, while UAE consumers prioritized convenience, gravitating toward credit cards, mobile wallets, and online shopping. The results offer practical insight for retailers, marketers, and policymakers working across these two fast-growing but culturally distinct markets.

The authors looked at how the focus of someone's attention impacted what information was retained in their working memory.

This manuscript evaluates peak detection algorithms for feature extraction in EMG-based hand gesture recognition using a random forest classifier. The study demonstrates that wavelet-based peak detection features achieve the highest classification accuracy (96.5%), outperforming other methods. The results highlight the potential of peak features to improve EMG-based prosthetic control systems.

In their attempt to evoke a greater emotional connection with viewers, animators have strived to replicate human movements in their animations. However, animation movements still appear distinct from human movements. With a focus on walking, we hypothesized that animations, unaffected by real external forces (e.g. gravity), would move with a universally distinct, gliding gait that is discernible from humans.

The authors looked at how a 3D bioprinter could be used to model the blood brain barrier.

In this study, the authors determine which house model is most resistant to high winds by building smaller prototypes that could be tested with a handheld source of wind.

In this study, the authors tested the ability and accuracy of a neural net to identify patterns in complex number matrices.