Nature Portfolio

Abstract Mineral dissolution by bacteria is thought to depend on mineral properties, solution chemistry, and the carbon sources metabolized.

Encouraging results from case reports and early trials suggested that abatacept could be an effective treatment for idiopathic inflammatory

Abstract Noise pollution is defined as any disturbing or unwanted sound that disrupts or harms human health or wildlife.

Correction to: Scientific Reports https://doi.org/10.1038/s41598-024-79435-7 , published online 21 November 2024

Fieldwork is integral to geoscience but can come with risks that increase for fieldworkers who are pregnant. Consultation with medical staff and completion of risk assessments are essential steps, but pregnant individuals also benefit from supportive colleagues, reasonable accommodations, and the freedom to adapt plans as pregnancy progresses.

Can you spot the penguin in every game this year? At the height of the COVID-19 pandemic, a hero was born: Leif Penguinson, a Rockhopper

Abstract Recent research has revealed cross-linguistic and individual variations in the processing of acoustic cues for phonetic categorization.

Nowadays, consumers show more interest towards eco-friendly products. To meet this demand, however, manufacturing processes often generate a lot of hazardous waste, which creates challenges for companies. To tackle these issues, this work develops an optimization model to help companies with managing production, reduce waste, and maintain green product standards. To navigate solution of the profit maximization problem became apparent in the model, a new meta-heuristics called Artificial Hummingbird Algorithm is employed and compared with a wide range of other optimization techniques. The results demonstrate that this algorithm outperforms others on the majority of case studies. Sensitivity analyses are also performed to help managers make informed decisions.

Virome-scale studies are changing our understanding of the virosphere, but deficiencies in reporting may limit the value of these studies. To increase the usefulness of virome-scale studies, 10 recommendations for the improvement of reporting are provided.

Shamai et al. develop and validate a deep learning system for predicting receptor status from H&E images in breast cancer. The system accurately identifies hormone receptor-positive patients and detects false negative diagnoses, supporting its integration into clinical workflows to improve diagnostic accuracy, patient care, and quality assurance.