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The authors looked at variables and their patterns and how those contribute to the properties of X-ray binaries.

The authors test various machine learning models to improve the accuracy and efficiency of pneumonia diagnosis from X-ray images.

To best identify tuberculosis and pneumonia diagnoses in chest x-rays, the authors compare different deep learning convolution neural networks.

The authors developed and tested machine learning methods to diagnose tuberculosis from pulmonary X-ray scans.

Seeking to develop a better understanding of the chemical and physical properties of amino acids that compose proteins, here the authors investigated the unusual relative insolubility of racemic mixtures of D- and L-serine compared to the solubility of pure D- or L-serine. The authors used a combination of microscopy and temperature measurements alongside previous X-ray diffraction studies to conclude that racemic DL-serine crystals consist of comparatively stronger hydrogen bond interactions compared to crystals of pure enantiomers. These stronger interactions were found to result in the unique release of heat during the crystallization of racemic mixtures.

Lung cancer is highly fatal, largely due to late diagnoses, but early detection can greatly improve survival. This study developed three models to enhance early diagnosis: an MLP for clinical data, a CNN for imaging data, and a hybrid model combining both.

In this article, the authors created CuSbS₂ solar cells. They discovered that the cells' efficiency was affected by the formation of MoS₂. By incorporating a layer of single-walled carbon nanotubes, however, they were able to prevent MoS₂ formation and increase the device's efficiency.

The authors propose and test a method that would allow for the generation of a magnetic field on Mars sufficient to support future colonization.

In this study, the impact of thermal effects on the orbit of an asteroid is investigated. This included determining if the asteroid's orbit would push into a region devoid of asteroids due to the gravitational pull of Jupiter.

Overwatering and underwatering grass are widespread issues with environmental and financial consequences. This study developed an accessible method to assess grass water use efficiency (WUE) combining smartphone imaging with open access color unmixing analysis. The method can be applied in automated irrigation systems or apps, providing grass WUE assessment for regular consumer use.