LPSGM: A Unified Flexible Large PSG Model for Sleep Staging and Mental Disorder Diagnosis.

We present the Large PSG Model (LPSGM), a unified and flexible framework for sleep staging and disease diagnosis using polysomnography (PSG) data. LPSGM is designed to address the challenges of cross-center generalization in sleep staging and to enable fine-tuning for downstream disease diagnosis tasks. LPSGM introduces a unified training framework for heterogeneous datasets and allows flexible channel input adjustments during inference.

Deep two-photon voltage imaging with adaptive excitation.

Optical imaging of neuronal voltage dynamics is invaluable to studying brain functions. However, high-speed imaging at significant depth is challenging due to the limitations of the short pixel dwell time and the maximum permissible excitation power in tissues. We report high-speed, deep voltage imaging by applying adaptive excitation, which illuminates the regions of interest only.

High-Brightness Color-Tunable AC-Driven Quantum Dot Light-Emitting Diodes for Integrated Passive High-Electric-Field Contactless Detection.

This work explores the carrier recombination dynamics of AC-driven quantum dot (QD) light-emitting diodes (AC-QLEDs) and proposes their application in the field of electric field contactless detection. Different sequences of green QD (GQD)/red QD (RQD) bilayer thin films as the emission layer of AC-QLEDs were fabricated via film transfer printing to ensure the complete morphology of each layer. AC-QLEDs with the emission layer as the sequence of GQD + RQD (GR-QLEDs) show a significantly enhanced carrier recombination efficiency due to its stable energy level structure, achieving the highest peak brightness ever recorded for vertically emitting brightness of 1648.

Vaccine Intention, Uptake, and Hesitancy Among US Certified Food Producers: The National COVID-19 Organic Farmer Study.

Objective: To estimate COVID-19 vaccine intention, uptake, and hesitancy among essential workers.

Methods: A cross-sectional survey of USDA-certified organic producers. An electronic survey was used for data collection.

[Comparison of short-term outcomes of robotic and laparoscopic surgery for mid-low rectal cancer: a propensity matched analysis].

To investigate the short-term efficacy of robotic and laparoscopic surgery for treatment of mid-low rectal cancer. This was a retrospective cohort study of clinical data of patients with mid-low rectal cancer (caudad edge of tumor less than 10 cm from the anal verge) treated with laparoscopic or robotic radical surgery in the Northern Jiangsu People's Hospital Affiliated to Nanjing University from July 2019 to November 2021. Patients whose anus had not been completely preserved, with malignant obstruction or perforation, with poor anal function indicated by preoperative low anterior resection syndrome (LARS) scores, or with incomplete follow-up information were excluded.