In this study, we performed density functional theory based calculations to determine the effect of the size of Cu(= 1 (adatom), 3 (trimer), 7 (heptamer)) clusters supported on Cu(111) toward the adsorption of CO, O, and CO, and the dissociation of CO. CO adsorbs with comparable adsorption energies on the different cluster systems, which are influenced by the reactivity of the Cu atoms in the cluster and the interaction of CO with the Cu atoms in the terrace. The O atom, on the other hand, will always favor to adsorb on hollow sites and is more stable on the hollow sites of smaller clusters. COdissociates with lower activation energy on the cluster region than on flat Cu(111). We obtained the lowest activation energy on Cudue to its more reactive Cu atoms than the Cucase and due to the possibility of O to adsorb on the cluster region, which is not observed in the Cucase. The presented results will provide insights on future studies on supported cluster systems and their possible use as catalysts for CO-related reactions.
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http://dx.doi.org/10.1088/1361-648X/ab945d | DOI Listing |
Front Bioeng Biotechnol
December 2024
Department of Biotechnology and Biosciences, University of Milano-Bicocca, Milan, Italy.
Polyethylene (PE) is the most-produced polyolefin, and consequently, it is the most widely found plastic waste worldwide. PE biodegradation is under study by applying different (micro)organisms in order to understand the biodegradative mechanism in the majority of microbes. This study aims to identify novel bacterial species with compelling metabolic potential and strategic genetic repertoires for PE biodegradation.
View Article and Find Full Text PDFFront Med (Lausanne)
December 2024
Department of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.
Objectives: To implement state-of-the-art deep learning architectures such as Deep-Residual-U-Net and DeepLabV3+ for precise segmentation of hippocampus and ventricles, in functional magnetic resonance imaging (fMRI). Integrate VGG-16 with Random Forest (VGG-16-RF) and VGG-16 with Support Vector Machine (VGG-16-SVM) to enhance the binary classification accuracy of Alzheimer's disease, comparing their performance against traditional classifiers.
Method: OpenNeuro and Harvard's Data verse provides Alzheimer's coronal functional MRI data.
Cureus
November 2024
Public Health, Amrita Institute of Medical Sciences, Kochi, IND.
Background Most studies on postnatal depression (PND) in India are hospital-based, focusing on assessments within the first month of postpartum. Therefore, community-based studies are required to capture the full spectrum of PND. Factors associated with PND are required to be addressed to improve maternal and child health outcomes.
View Article and Find Full Text PDFArch Insect Biochem Physiol
December 2024
Department of Sericultural Science, College of Animal Science, South China Agricultural University, Guangzhou, China.
Instant and refrigerated acid soaking are commonly used in cocoon production to prevent or break diapause, and provide developable silkworm eggs for sericulture, while their mechanisms have not been fully understood. This study aims to investigate the mechanisms by which hydrochloric acid (HCl) or dimethyl sulfoxide (DMSO) promotes embryonic development in silkworm Bombyx mori, focusing on the chloride ion (Cl) related gene expression profiles. Our results revealed that the HCl treatment of up to 6 min enhanced hatchability in freshly picked and cold-stored eggs, whereas a slight decrease in hatchability was observed in those treated with DMSO for 40 min.
View Article and Find Full Text PDFPart Fibre Toxicol
December 2024
Health Effects Laboratory, Department of Environmental Chemistry and Health Effects, NILU, 2007, Kjeller, Norway.
Background: Hazard and risk assessment of nanomaterials (NMs) face challenges due to, among others, the numerous existing nanoforms, discordant data and conflicting results found in the literature, and specific challenges in the application of strategies such as grouping and read-across, emphasizing the need for New Approach Methodologies (NAMs) to support Next Generation Risk Assessment (NGRA). Here these challenges are addressed in a study that couples physico-chemical characterization with in vitro investigations and in silico similarity analyses for nine nanoforms, having different chemical composition, sizes, aggregation states and shapes. For cytotoxicity assessment, three methods (Alamar Blue, Colony Forming Efficiency, and Electric Cell-Substrate Impedance Sensing) are applied in a cross-validation approach to support NAMs implementation into NGRA.
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