An EMD-Based Adaptive Client Selection Algorithm for Federated Learning in Heterogeneous Data Scenarios.

Federated learning is a distributed machine learning framework that enables distributed nodes with computation and storage capabilities to train a global model while keeping distributed-stored data locally. This process can promote the efficiency of modeling while preserving data privacy. Therefore, federated learning can be widely applied in distributed conjoint analysis scenarios, such as smart plant protection systems, in which widely networked IoT devices are used to monitor the critical data of plant production to improve crop production.

The interaction of chitosan and BMP-2 tuned by deacetylation degree and pH value.

Integrating proteins with chitosan (CS) can not only improve the biocompatibility of CS, but also enable the sustained release of proteins. The deacetylation degree (DD) and pH conditions are considered as the two most important factors affecting the interaction between CS and proteins. In this study, the effects of CS with different DDs and pH conditions on bone morphogenetic protein-2 (BMP-2) adsorption were evaluated using the molecular dynamics (MD) method.

Effects of atomic-level nano-structured hydroxyapatite on adsorption of bone morphogenetic protein-7 and its derived peptide by computer simulation.

Hydroxyapatite (HA) is the principal inorganic component of bones and teeth and has been widely used as a bone repair material because of its good biocompatibility and bioactivity. Understanding the interactions between proteins and HA is crucial for designing biomaterials for bone regeneration. In this study, we evaluated the effects of atomic-level nano-structured HA (110) surfaces on the adsorption of bone morphogenetic protein-7 (BMP-7) and its derived peptide (KQLNALSVLYFDD) using molecular dynamics and density functional theory methods.

Interaction Behaviors of Fibrinopeptide-A and Graphene with Different Functional Groups: A Molecular Dynamics Simulation Approach.

Graphene as a 2-dimentional material has been widely used in the field of biomedical applications. In this study, molecular dynamics simulations are carried out on the fibrinopeptide-A and graphene surfaces with N and O modifications. A new set of parameters for the CHARMM force field are developed to describe the behaviors of the surfaces.

From moderately severe to severe hypertriglyceridemia induced acute pancreatitis: circulating miRNAs play role as potential biomarkers.

The incidence of hypertriglyceridemia induced acute pancreatitis (HTAP) continues to rise in China. It has systemic complications and high mortality, making the early assessment of the severity of this disease even more important. Circulating microRNAs (miRNAs) could be novel, non-invasive biomarkers for disease progression judgment.

Dynamic functional and ultrastructural changes of gastric parietal cells induced by water immersion-restraint stress in rats.

Aim: To investigate the dynamic functional and ultrastructural changes of gastric parietal cells induced by water immersion-restraint stress (WRS) in rats.

Methods: WRS model of Sprague-Dawley (SD) rats was established. Fifty-six male SD rats were randomly divided into control group, stress group and post-stress group.

[Protective effect of nitric oxide on gastric mucosa and its relationship to the acid secretion of gastric parietal cells under stress in rats].

Aim: To demonstrate the protective effect of nitric oxide (NO) on gastric mucosa and its relationship to the acid secretion of parietal cells under stress in rats.

Methods: Water immersion-restraint stress (WRS) model in SD rats was performed. The gastric mucosal ulcer index (UI), NO contents in gastric mucosa and H+, K(+) -ATPase activity of parietal cells were measured.