From gingiva to multiple organs in mice: The trace of via imaging.

Background/purpose: Periodontitis is associated with systemic health. One of the underlying mechanisms is the translocation of periodontal pathogens, among which () is the most common. Here, we aimed to illustrate the biodistribution and dynamics of from gingiva to multiple organs through blood circulation.

The evolution of ovarian somatic cells characterized by transcriptome and chromatin accessibility across rodents, monkeys, and humans.

The ovary plays a crucial role in the reproductive system of female mammals by producing mature oocytes through folliculogenesis. Non-human model organisms are extensively utilized in research on human ovarian biology, thus necessitating the investigation of conservation and divergence in molecular mechanisms across species. In this study, we employed integrative single-cell analysis of transcriptome and chromatin accessibility to identify the evolutionary conservation and divergence patterns of ovaries among humans, monkeys, mice, rats, and rabbits.

Effectiveness of Poverty Reduction Programs on Psychological Development of Children and Adolescents at Risk of Poverty: A Systematic Review and Meta-analysis.

Considering the potential detrimental impact of poverty on psychological development and the resulting harmful cycles, implementing poverty alleviation interventions is necessary for children and adolescents. Although several meta-analyses have demonstrated the effectiveness of monetary poverty reduction programs, there remains a significant gap in understanding how multidimensional poverty reduction strategies boost psychological development. This meta-analysis aims to address this gap by disclosing the impact of multifaceted anti-poverty interventions on the psychological development of children and adolescents.

A safe-enhanced fully closed-loop artificial pancreas controller based on deep reinforcement learning.

Patients with type 1 diabetes and their physicians have long desired a fully closed-loop artificial pancreas (AP) system that can alleviate the burden of blood glucose regulation. Although deep reinforcement learning (DRL) methods theoretically enable adaptive insulin dosing control, they face numerous challenges, including safety and training efficiency, which have hindered their clinical application. This paper proposes a safe and efficient adaptive insulin delivery controller based on DRL.