Antipsychotic continuation during pregnancy and risk of postpartum relapse in women with schizophrenia: nationwide register-based study.

Background: Women with schizophrenia frequently discontinue antipsychotic medications during pregnancy. However, evidence on the risk of postpartum relapse associated with antipsychotic use during pregnancy is lacking.

Aims: To investigate the within-individual association between antipsychotic continuation during pregnancy and postpartum relapse in women with schizophrenia.

Nurse practitioner and physician associate mentorship: Improving retention and employment experiences.

Background: Clinician turnover is costly for health care organizations.

Local Problem: A retention strategy for newly hired nurse practitioners (NPs) and physician associates (PAs) was needed at our organization.

Methods: A quality improvement project was conducted to determine whether a mentorship program could improve retention and employment experiences of newly hired NPs and PAs.

Stem Cells Within Three-Dimensional-Printed Scaffolds Facilitate Airway Mucosa and Bone Regeneration and Reconstruction of Maxillary Defects in Rabbits.

: Current craniofacial reconstruction surgical methods have limitations because they involve facial deformation. The craniofacial region includes many areas where the mucosa, exposed to air, is closely adjacent to bone, with the maxilla being a prominent example of this structure. Therefore, this study explored whether human neural-crest-derived stem cells (hNTSCs) aid bone and airway mucosal regeneration during craniofacial reconstruction using a rabbit model.

GLNet: global-local feature network for wheat leaf disease image classification.

Addressing the issues with insufficient multi-scale feature perception and incomplete understanding of global information in traditional convolutional neural networks for image classification of wheat leaf disease, this paper proposes a global local feature network, i.e. GLNet, which adopts a unique global-local convolutional neural network architecture, realizes the comprehensive capturing of multi-scale features in an image by processing the global feature block and local feature block in parallel and integrating the information of both of them with the help of a feature fusion block.

An Emerging Toolkit of Ho Sensitized Lanthanide Nanocrystals with NIR-II Excitation and Emission for Bioimaging.

Optical imaging in the second near-infrared window (NIR-II, 1000-1700 nm) holds great promise for biomedical detection due to reduced tissue scattering and autofluorescence. However, the rational design of NIR-II probes with superior excitation wavelengths to balance the effects of tissue scattering and water absorption remains a great challenge. To address this issue, here we developed a series of Ho-sensitized lanthanide (Ln) nanocrystals (NaYF: Ho, Ln@NaYF) excited at 1143 nm, featuring tunable emissions ranging from 1000 to 2200 nm for bioimaging.