Abstract: Distributed hybrid flow shop scheduling is prevalent in industries such as integrated circuit manufacturing, ceramic frit production, glass fiber processing, and steelmaking. Machine ...

Plants are constantly exposed to a wide array of biotic and abiotic stresses in their natural environments, posing ...

Being invited to present research at an international academic conference is an honor for any seasoned professional. But for ...

Stephen Whitelam, a researcher whose work spans thermodynamic theory and machine learning, has described a framework for generating images from pure noise by using the physics of heat and motion ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...

To prevent algorithmic bias, the authors call for multivariable modeling frameworks that jointly incorporate biological sex, genetic ancestry, and gender-related life-course exposures.

Fragments of DNA from long-extinct human relatives still circulate in modern genomes, and in some cases they do more than ...

Abstract: This research focuses on the solution of optimization problem, through the construction of INS-GA model, the genetic algorithm is used to optimize the data combination, and the elite ...

To elucidate peripheral molecular biomarkers for adolescent MDD, we performed RNA sequencing on peripheral blood mononuclear cells (PBMCs) from 15 adolescents with MDD and 15 age- and sex-matched ...