Q-Learning-Driven Butterfly Optimization Algorithm for Green Vehicle Routing Problem Considering Customer Preference.

This paper proposes a Q-learning-driven butterfly optimization algorithm (QLBOA) by integrating the Q-learning mechanism of reinforcement learning into the butterfly optimization algorithm (BOA). In order to improve the overall optimization ability of the algorithm, enhance the optimization accuracy, and prevent the algorithm from falling into a local optimum, the Gaussian mutation mechanism with dynamic variance was introduced, and the migration mutation mechanism was also used to enhance the population diversity of the algorithm. Eighteen benchmark functions were used to compare the proposed method with five classical metaheuristic algorithms and three BOA variable optimization methods.

Highly effective treatment of bacterial infection-accompanied wounds by fat extract-embedded phototherapeutic hydrogel.

Phototherapy presents an effective approach for treating localized methicillin-resistant Staphylococcus aureus (MRSA) infections; however, the tradeoff between therapeutic efficacy and negative off-target effect persists. To address these issues, we have developed a nanoparticle-hydrogel superstructure comprising phototherapeutic liposomal nanobubbles (NB) and fat extract (FE) encapsulated by F-127 hydrogel. After local administration to sites of MRSA infection, the superstructure effectively neutralizes high levels of MRSA toxins to protect against toxin-mediated cytotoxicity through loaded, which can also be leveraged to enhance anti-MRSA efficacy via toxin-regulated on-demand phototherapy upon near-infrared irradiation.

Surface curvature-driven adsorption-reduction mechanism over hollow N-doped carbon enhances recovery of precious metal ions from wastewater.

The recovery of precious metal ions (PMI) from wastewater has great significances from both economic and environmental perspectives. However, current recovery methods face limitations, including low efficiency and selectivity, as well as challenges in practical applications. In this study, hollow N-doped carbon spheres (HNC) are proved to be promising for improving anionic AuCl and PdCl recovery via the curvature effect, outperforming non-curved carbon (commercial active carbon and carbon nanosheet) due to their unique curvature effect.

Microbial communities in the phyllosphere and endosphere of Norway spruce under attack by .

species complex has been regarded as the most destructive disease agent of conifer trees in boreal forests. Tree microbiome can regulate the plant-pathogen interactions by influencing both host resistance and pathogen virulence. Such information would help to improve the future health of forests and explore strategies to enhance ecosystem stability.

A genome-wide association study identifies genetic variants associated with hip pain in the UK Biobank cohort (N = 221,127).

Hip pain is a common musculoskeletal complaint that leads many people to seek medical attention. We conducted a primary genome-wide association study (GWAS) on the hip pain phenotype within the UK Biobank cohort. Sex-stratified GWAS analysis approach was also performed to explore sex specific variants associated with hip pain.