Insomnia Prevalence and Correlates in Cancer Patients Undergoing Treatment.

Background: Insomnia is the most common sleep disturbance among cancer patients undergoing active treatment. If untreated, it is associated with significant physical and psychological health consequences. Prior efforts to determine insomnia prevalence and correlates have primarily assessed patients in clinical trials, in limited disease groups, and excluding important patient subgroups.

g-C3N4 S-Scheme Homojunction through van der Waals Interface Regulation by Intrinsic Polymerization Tailoring for Enhanced Photocatalytic H2 Evolution and CO2 Reduction.

The effective S-scheme homojunction relies on the precise regulation of band structure and construction of advantaged charge migration interfaces. Here, the electronic structural properties of g-C3N4 were modulated through meticulous polymerization of self-assembled supramolecular precursors. Experimental and DFT results indicate that both the intrinsic bandgap and surface electronic characteristics were adjusted, leading to the formation of an in-situ reconstructed homojunction interface facilitated by intrinsic van der Waals forces.

Brief, Family-Centered, Videoconference-Based Behavioral Insomnia Program in Elementary School-Aged Pediatric Cancer Survivors: A Proof-of-Concept Study.

Pediatric cancer survivors are at heightened risk for insomnia. Though behavioral interventions are the recommended approach, there are not enough trained clinicians. No known published trials have been conducted among school-aged survivors, despite them having unique age-related sleep issues.

A perspective on field-effect in energy and environmental catalysis.

The development of catalytic technologies for sustainable energy conversion is a critical step toward addressing fossil fuel depletion and associated environmental challenges. High-efficiency catalysts are fundamental to advancing these technologies. Recently, field-effect facilitated catalytic processes have emerged as a promising approach in energy and environmental applications, including water splitting, CO reduction, nitrogen reduction, organic electrosynthesis, and biomass recycling.

Correlation between polygenic risk scores of depression and cortical morphology networks.

Background: Cortical morphometry is an intermediate phenotype that is closely related to the genetics and onset of major depressive disorder (MDD), and cortical morphometric networks are considered more relevant to disease mechanisms than brain regions. We sought to investigate changes in cortical morphometric networks in MDD and their relationship with genetic risk in healthy controls.

Methods: We recruited healthy controls and patients with MDD of Han Chinese descent.