The use and methodological reporting of large language models in qualitative research: a scoping review. [PDF]
Kempny C +4 more
europepmc +1 more source
Donor Extended Blue TADF Dendrimer for High‐Performance Solution‐Processed OLEDs
A dendronized MR‐TADF emitter, DOBNA‐SpAc‐DCz, was designed to improve solubility, hole transport, and exciton dynamics for solution‐processed OLEDs. Incorporation of ter(tert‐butylcarbazole) dendrons decreases ΔEST and accelerates RISC, yielding short delayed lifetimes (∼2 µs).
Mahni Fatahi +4 more
wiley +1 more source
Proactive psychological first aid in mass-casualty recovery: a theory-driven case analysis of the SIX Cs model. [PDF]
Levy E, Farchi M.
europepmc +1 more source
CauFinder: Steering Cell‐State and Phenotype Transitions by Causal Disentanglement Learning
CauFinder combines causal disentanglement modeling and network control to prioritize causal drivers of cell‐state transitions from observational transcriptomic data. The framework separates transition‐relevant signals from spurious associations, nominates intervention targets across biological and disease contexts, and identifies DAAM1 as an actionable
Chengming Zhang +11 more
wiley +1 more source
Updates of the Status Quo of Situation-Specific Theories (2015-2025). [PDF]
Kim D, Im EO.
europepmc +1 more source
Causal‐Guided Ultra‐Long‐Term Time Series Forecasting Via Anticipated Covariates
Often treated as unknown, information from the future remains underutilized.We demonstrate that in a coupled dynamical system, providing the future state of the effect enables accurate forecasting of the cause for a long timesteps. A time series forecasting paradigm that introduces anticipated covariates to represent such known future states is ...
Jintong Zhao +4 more
wiley +1 more source
The Overwhelming Challenge of Losing One's Sense of Wholeness: A Grounded Theory Study on Women's Experiential Process of Birth Trauma. [PDF]
Chen LL, Pan WL, Tsai CH, Li YC.
europepmc +1 more source
Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai +3 more
wiley +1 more source
Navigating a new home: a grounded theory model of sports as a catalyst for social integration among aging migrants in China. [PDF]
Wei S, Kunyan W.
europepmc +1 more source
A universal metal pre‐fixation (MPF) strategy directs the precise crystallization of diverse metal‐organic frameworks (Co‐MOF, ZIF‐8, Fe‐MOF, UIO‐66) on covalent organic framework (PY‐COF) scaffolds. The resulting hierarchical hybrids exhibit tunable porosity, structural defective and dimensional, as well as enhanced performance in CH4/C2H6/C3H8 ...
Ying Zhao +5 more
wiley +1 more source

