Predicting Dental Anxiety and Cooperative Behavior in Children Using Machine Learning: A Cross-Sectional Predictive Modeling Study. [PDF]
Helal NM, Sabbagh H.
europepmc +1 more source
Red‐emissive carbon dots (R‐CDs) exhibiting aggregation‐induced emission (AIE) and aggregation‐caused quenching (ACQ) effects are synthesized from citric acid and urea. They display weak blue fluorescence in water but strong red emission in DMF due to aggregation.
Jiafeng Wan +11 more
wiley +2 more sources
The multimodal display of rattlesnakes is a deterring signal that works best with sympatric species. [PDF]
Da Cunha O, Mead JJ, Horne LM.
europepmc +1 more source
Application for the Detection of Taste and Smell Disorders Based on Self-Test at the Patient's Home. [PDF]
Buksinska M +3 more
europepmc +1 more source
Beyond Exhaustion: Shame, Identity Disruption, and Functional Collapse in Autistic Burnout. [PDF]
Clarey MM +3 more
europepmc +1 more source
Mushroom Volatile Compounds Mediate Avoidance Behavior in a Mycophagous Slug and Differential Responses in <i>Drosophila</i> Flies. [PDF]
Kitabayashi K +2 more
europepmc +1 more source
Spending time in a forest vs. a virtual forest simulation: qualitative and quantitative effects on stress perception and psychological wellbeing in a randomized cross-over trial of highly sensitive persons. [PDF]
Kühn J +4 more
europepmc +1 more source
Guidance for protocol content and reporting of dog-assisted interventions in randomised controlled trials: explanation and elaboration of the SPIRIT 2025 and CONSORT 2025 extensions. [PDF]
Shoesmith E +14 more
europepmc +1 more source
Controlling the Guanidinium Cation Rotation by Cation–π Interactions
A lanthanide π‐container has been employed to trap a guanidinium cation inside the aromatic cavity by cation–π interactions. X‐ray crystallography and solid‐state nuclear magnetic resonance (NMR) spectroscopy at fast magic‐angle spinning (MAS) frequencies have been utilized to probe the underlying host–guest interactions.
Hannah Busch +12 more
wiley +1 more source
Software technical debt prediction based on complex software networks. [PDF]
Jiang B, Cen J, Zhu E, Wang J.
europepmc +1 more source

